Fachartikel, Tagungsbeiträge

Die unten angezeigte Publikationsliste listet Veröffentlichungen des SCC nach Erscheinungsjahr sortiert. Sie enthält Veröffentlichungen des Typs Buch und Buchaufsatz, Zeitschriftenaufsatz und -band, Proceedingsbeitrag und -band sowie Forschungsbericht. Diese und weitere Publikationen des SCC bzw. des KIT sind vollständig über den Publikationsservice der KIT-Bibliothek verfügbar.

Publikationen


2024
Search for an exotic decay of the Higgs boson into a Z boson and a pseudoscalar particle in proton-proton collisions at √s = 13 TeV
Hayrapetyan, A.; Tumasyan, A.; Adam, W.; Andrejkovic, J. W.; Bergauer, T.; Chatterjee, S.; Damanakis, K.; Dragicevic, M.; Escalante Del Valle, A.; Hussain, P. S.; Jeitler, M.; Krammer, N.; Liko, D.; Mikulec, I.; Schieck, J.; u. a.
2024. Physics Letters B, 852, Art.-Nr.: 138582. doi:10.1016/j.physletb.2024.138582
Machine Learning from Evolution. Dissertation
Taubert, O.
2024, April 19. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000170101
Metadata Management in Correlative Characterization: Tales from the Metadata WG
Aversa, R.
2024, April 2. Frontiers in Correlative Material Characterization: Samples, Techniques, Instrumentation and Data Management (2024), Bad Honnef, 2.–5. April 2024
Study of azimuthal anisotropy of ϒ(1S) mesons in pPb collisions at √NN = 8.16 TeV
Tumasyan, A.; Adam, W.; Andrejkovic, J. W.; Bergauer, T.; Chatterjee, S.; Damanakis, K.; Dragicevic, M.; Escalante Del Valle, A.; Hussain, P. S.; Jeitler, M.; Krammer, N.; Lechner, L.; Liko, D.; Mikulec, I.; Paulitsch, P.; u. a.
2024. Physics Letters B, 850, Art.-Nr.: 138518. doi:10.1016/j.physletb.2024.138518
OMI-based emission source classification in East China and its spatial redistribution in view of pollution control measures
Zara, M.; van der A, R.; Ding, J.; Stavrakou, T.; Boersma, F.
2024. Environmental Monitoring and Assessment, 196 (3), Art.-Nr.: 323. doi:10.1007/s10661-024-12421-8
Search for new Higgs bosons via same-sign top quark pair production in association with a jet in proton-proton collisions at = 13 TeV
Hayrapetyan, A.; Tumasyan, A.; Adam, W.; Andrejkovic, J. W.; Bergauer, T.; Chatterjee, S.; Damanakis, K.; Dragicevic, M.; Hussain, P. S.; Jeitler, M.; Krammer, N.; Li, A.; Liko, D.; Mikulec, I.; Schieck, J.; u. a.
2024. Physics Letters, Section B: Nuclear, Elementary Particle and High-Energy Physics, 850, Art.-Nr.: 138478. doi:10.1016/j.physletb.2024.138478
Measurements of azimuthal anisotropy of nonprompt D mesons in PbPb collisions at = 5.02 TeV
Tumasyan, A.; Adam, W.; Andrejkovic, J. W.; Bergauer, T.; Chatterjee, S.; Damanakis, K.; Dragicevic, M.; Escalante Del Valle, A.; Hussain, P. S.; Jeitler, M.; Krammer, N.; Lechner, L.; Liko, D.; Mikulec, I.; Paulitsch, P.; u. a.
2024. Physics Letters, Section B: Nuclear, Elementary Particle and High-Energy Physics, 850, Art.-Nr.: 138389. doi:10.1016/j.physletb.2023.138389
Portable Mixed Precision Algebraic Multigrid on High Performance GPUs. Dissertation
Tsai, Y.-H.
2024, Februar 29. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000168914
Assessment of dynamic characteristics of fluidized beds via numerical simulations
Zhang, F.; Tavakkol, S.; Dercho, S.; Zhou, J.; Zirwes, T.; Zeller, M.; Vogt, J.; Zhang, R.; Bockhorn, H.; Stapf, D.
2024. Physics of Fluids, 36 (2), Art.-Nr.: 023348. doi:10.1063/5.0189519
Building the MDMC-NEP Glossary
Aversa, R.
2024, Februar 23. SIG Metadata and Ontologies Meeting (2024), Online, 23. Februar 2024
Metadata Management in Scientific Research: an overview
Aversa, R.
2024, Februar 22. 1st iENTRANCE@ENL Advanced School (2024), Rom, Italien, 20.–22. Februar 2024
The MDMC-NEP Glossary of Terms
Aversa, R.; Boubnov, A.; De Angelis, D.; Eschke, C.; Irvine, S.; Joseph, R. E.; Kabbe, M.; MacKinnon, N.; Irene, M.; Panighel, M.; Thelen, R.; Valentinis, D.
2024. Zenodo. doi:10.5281/zenodo.10663833
A Lightning Introduction to the NFDI4Ing Data Collections Explorer
Ost, P.
2024, Februar 15. TS4NFDI (2024), Online, 15. Februar 2024. doi:10.5445/IR/1000168463
Essential parameters needed for a U-Net-based segmentation of individual bones on planning CT images in the head and neck region using limited datasets for radiotherapy application
Yawson, A. K.; Walter, A.; Wolf, N.; Klüter, S.; Hoegen, P.; Adeberg, S.; Debus, J.; Frank, M.; Jäkel, O.; Giske, K.
2024. Physics in Medicine & Biology, 69 (3), Art.-Nr.: 035008. doi:10.1088/1361-6560/ad1996
Approximation method for fast calculation of transmission in multi-mode waveguides
Paszkiewicz, M.; Sukhova, M.; Dörfler, W.; Rockstuhl, C.
2024. Journal of the Optical Society of America A: Optics and Image Science, and Vision, 41 (2), 174 – 184. doi:10.1364/JOSAA.504950
KI und Prüfungen: Möglichkeiten und Herausforderungen aus rechtlicher Perspektive
Drossos, M.
2024. (Partnerschaft für innovative E-Prüfungen. Projektverbund der baden-württembergischen Universitäten (PePP), Hrsg.). doi:10.5445/IR/1000167081
Effects of Intrinsic Instabilities on the Response of Premixed Hydrogen/Air Conical Flames to Inlet Flow Perturbations
Yang, L.; Wang, Y.; Zirwes, T.; Zhang, F.; Bockhorn, H.; Chen, Z.
2024. Flow, Turbulence and Combustion. doi:10.1007/s10494-024-00535-5
Segmentation of 71 Anatomical Structures Necessary for the Evaluation of Guideline-Conforming Clinical Target Volumes in Head and Neck Cancers
Walter, A.; Hoegen-Saßmannshausen, P.; Stanic, G.; Rodrigues, J. P.; Adeberg, S.; Jäkel, O.; Frank, M.; Giske, K.
2024. Cancers, 16 (2), Art.-Nr.: 415. doi:10.3390/cancers16020415
Sensitivity of the polar boundary layer to transient phenomena
Kaiser, A.; Vercauteren, N.; Krumscheid, S.
2024. Nonlinear Processes in Geophysics, 31 (1), 45–60. doi:10.5194/npg-31-45-2024
Discovering Process Dynamics for Scalable Perovskite Solar Cell Manufacturing with Explainable AI
Klein, L.; Ziegler, S.; Laufer, F.; Debus, C.; Götz, M.; Maier-Hein, K.; Paetzold, U. W.; Isensee, F.; Jäger, P. F.
2024. Advanced Materials, 36 (7), Art.-Nr.: 2307160. doi:10.1002/adma.202307160
GPU-resident sparse direct linear solvers for alternating current optimal power flow analysis
Świrydowicz, K.; Koukpaizan, N.; Ribizel, T.; Göbel, F.; Abhyankar, S.; Anzt, H.; Peleš, S.
2024. International Journal of Electrical Power & Energy Systems, 155 (Part A), Art.-Nr.: 109517. doi:10.1016/j.ijepes.2023.109517
Correlation of wall heat loss with quenching distance for premixed H/Air flames during unsteady Flame-Wall interaction
Zhu, J.; Zirwes, T.; Zhang, F. C.; Li, Z. J.; Zhang, Y.; Pan, J. F.
2024. Chemical Engineering Science, 283, 119391. doi:10.1016/j.ces.2023.119391
2023
Rigidity of -harmonic maps of low degree
Hörter, J.; Lamm, T.; Micallef, M.
2023. Annali della Scuola Normale Superiore di Pisa - Classe di Scienze, 24 (4), 2269 – 2310. doi:10.2422/2036-2145.202201_002
A parallel-in-time collocation method using diagonalization: theory and implementation for linear problems
Čaklović, G.; Speck, R.; Frank, M.
2023. Communications in Applied Mathematics and Computational Science, 18 (1), 55 – 85. doi:10.2140/camcos.2023.18.55
MatterMiners/tardis: 0.8.1
Giffels, M.; Fischer, M.; Haas, A.; Kroboth, S.; Schnepf, M.; Kuehn, E.; Schuhmacher, P.; Caspart, R.; Cube, F. von; Sammel, D.; Rottler, B.; Wienemann, P.; Kleinemühl, R.
2023, Dezember 20. doi:10.5281/zenodo.2240605
MetaStore v1.4.0
Hartmann, V.; Jejkal, T.; Chelbi, S.
2023, Dezember 19. doi:10.5281/zenodo.7814548
Towards a Benchmark Dataset for the Digital Humanities
Ernst, F.; Blumenröhr, N.
2023. OM 2023 Ontology Matching : Proceedings of the 18th International Workshop on Ontology Matching, co-located with the 22nd International Semantic Web Conference (ISWC 2023), Athens, Greece, November 7, 2023. Ed.: P. Shvaiko, 200–202, CEUR-WS
Synchronization-free algorithms for exascale and beyond : A study of Asynchronous and Batched Iterative Methods. Dissertation
Nayak, P. V.
2023, Dezember 13. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000165437
mytoken-server 0.9.0
Zachmann, G.
2023, Dezember 5. doi:10.5281/zenodo.10260060
go-oidcfed 0.1.0
Zachmann, G.
2023, Dezember 5. doi:10.5281/zenodo.10259446
MatterMiners/tardis: 0.8.1
Giffels, M.; Fischer, M.; Haas, A.; Kroboth, S.; Schnepf, M.; Kuehn, E.; Schuhmacher, P.; Caspart, R.; Cube, F. von; Sammel, D.; Rottler, B.; Wienemann, P.; Kleinemühl, R.
2023, Dezember. doi:10.5281/zenodo.10411024
Three-precision algebraic multigrid on GPUs
Tsai, Y.-H. M.; Beams, N.; Anzt, H.
2023. Future Generation Computer Systems, 149, 280–293. doi:10.1016/j.future.2023.07.024
An Empirical Analysis of Newcomers’ Contributions to Software-Engineering Conferences
Alchokr, R.; Krüger, J.; Shakeel, Y.; Saake, G.; Leich, T.
2023. Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration – 25th International Conference on Asia-Pacific Digital Libraries, ICADL 2023, Taipei, Taiwan, December 4–7, 2023, Proceedings, Part I. Ed.: D. Goh, 231 – 247, Springer Nature Singapore. doi:10.1007/978-981-99-8085-7_21
Implementation of an InfraStructure for dAta-BasEd Learning in environmental sciences (ISABEL)
Strobl, M.; Azmi, E.; Bischof, B.; Dolich, A.; Hassler, S. K.; Mälicke, M.; Jaseetha, A. M.; Meyer, J.; Streit, A.; Zehe, E.
2023. E-Science-Tage 2023 : Empower Your Research – Preserve Your Data. Hrsg.: V. Heuveline, 295–300, heiBOOKS. doi:10.11588/heibooks.1288.c18091
Successful stories in NFFA-Europe Pilot and beyond
Aversa, R.
2023, November 29. iEntrance FAIR Data Day (2023), Bologna, Italien, 29. November 2023
Handling and Storing Metadata
Aversa, R.
2023, November 28. KNMFi User Meeting (2023), Ettlingen, Deutschland, 28.–29. November 2023
ParaDiag and Collocation Methods: Theory and Implementation. Dissertation
Caklovic, G.
2023, November 28. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000164518
QUAFEL: Quantum Framework Evaluation
Strobl, M.; Heinkelein, M.; Kuehn, E.; Wendenius, C.; Streit, A.
2023, November 21. 7th Quantum Techniques in Machine Learning (QTML 2023), Genf, Schweiz, 19.–24. November 2023
Porting Batched Iterative Solvers onto Intel GPUs with SYCL
Nguyen, P.; Nayak, P.; Anzt, H.
2023. Proceedings of the SC ’23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, Denver, USA, 12-17 November 2023, 1048 – 1058, Association for Computing Machinery (ACM). doi:10.1145/3624062.3624181
Parallel Symbolic Cholesky Factorization
Ribizel, T.; Anzt, H.
2023. Proceedings of the SC ’23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, Denver, USA, 12-17 November 2023, 1721 – 1727, Association for Computing Machinery (ACM). doi:10.1145/3624062.3624253
KCDS How to prepare your application
Hühnerfuß, A.
2023. (U. Ehret, M. Frank & KIT-Zentrum MathSEE, Hrsg.)
Deep learning based automated delineation of the intraprostatic gross tumour volume in PSMA-PET for patients with primary prostate cancer
Holzschuh, J. C.; Mix, M.; Ruf, J.; Hölscher, T.; Kotzerke, J.; Vrachimis, A.; Doolan, P.; Ilhan, H.; Marinescu, I. M.; Spohn, S. K. B.; Fechter, T.; Kuhn, D.; Bronsert, P.; Gratzke, C.; Grosu, R.; u. a.
2023. Radiotherapy and Oncology, 188, Art.-Nr.: 109774. doi:10.1016/j.radonc.2023.109774
Deep-Learning-Based 3-D Surface Reconstruction—A Survey
Farshian, A.; Götz, M.; Cavallaro, G.; Debus, C.; Nießner, M.; Benediktsson, J. A.; Streit, A.
2023. Proceedings of the IEEE, 111 (11), 1464 – 1501. doi:10.1109/JPROC.2023.3321433
Novel Approach for Passive Mixing in Microfluidics Utilizing Porous PDMS Sponge
Grigorov, E.; Kirov, B.; Denev, J. A.; Galabov, V.
2023. 2023 International Scientific Conference on Computer Science (COMSCI), Sozopol, 18th-20th September 2023, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/COMSCI59259.2023.10315880
Search for the Higgs boson decay to a pair of electrons in proton-proton collisions at = 13 TeV
Tumasyan, A.; Adam, W.; Andrejkovic, J. W.; Bergauer, T.; Chatterjee, S.; Damanakis, K.; Dragicevic, M.; Escalante Del Valle, A.; Hussain, P. S.; Jeitler, M.; Krammer, N.; Lechner, L.; Liko, D.; Mikulec, I.; Paulitsch, P.; u. a.
2023. Physics Letters, Section B: Nuclear, Elementary Particle and High-Energy Physics, 846, Art.-Nr.: 137783. doi:10.1016/j.physletb.2023.137783
Improving volume-averaged simulations of matrix-stabilized combustion through direct X-ray µCT characterization: Application to NH₃/H₂-air combustion
Zirwes, T.; Vignat, G.; Toro, E. R.; Boigné, E.; Younes, K.; Trimis, D.; Ihme, M.
2023. Combustion and Flame, 257 (2), Article no: 113020. doi:10.1016/j.combustflame.2023.113020
Understanding Scalable Perovskite Solar Cell Manufacturing with Explainable AI
Klein, L.; Ziegler, S.; Laufer, F.; Debus, C.; Götz, M.; Maier-Hein, K.; Paetzold, U.; Isensee, F.; Jaeger, P.
2023
KiT-RT: An extendable framework for radiative transfer and therapy
Kusch, J.; Schotthöfer, S.; Stammer, P.; Wolters, J.; Xiao, T.
2023. ACM Transactions on Mathematical Software, 49 (4), Art.-Nr.: 38. doi:10.1145/3630001
A conceptual model for a FAIR DO fabric
Pfeil, A.
2023, Oktober 26. International Data Week : A Festival of Data / Plenary meeting (RDA 2023), Salzburg, Österreich, 23.–26. Oktober 2023
Metadata Required for FAIR Digital Objects
Stotzka, R.
2023, Oktober 23. International Data Week : A Festival of Data / Plenary meeting (RDA 2023), Salzburg, Österreich, 23.–26. Oktober 2023
Project 03: Mathematical Foundations of Bayesian Neural Networks
Debus, C.; Krumscheid, S.
2023. (U. Ehret, M. Frank & KIT-Zentrum MathSEE, Hrsg.)
Project 02: Advanced Parallelization Techniques for datadriven Uncertainty Quantification
Krumscheid, S.; Seelinger, L.
2023. (U. Ehret, M. Frank & KIT-Zentrum MathSEE, Hrsg.)
Project 04: Replacement of physical PSC simulation by machine learning in an Earth system model
Kirner, O.; Meyer, J.; Streit, A.
2023. (U. Ehret, M. Frank & KIT-Zentrum MathSEE, Hrsg.)
Designing a Mobility Data Trustee (MDT) – Findings From a Multi-Disciplinary Analysis of Requirements of an MDT
Czech, A.; Geenen, V.; Breß, C.; Turkovic Popovski, M.; Krauß, P.; Riedel, T.; Gauterin, F.
2023. Proceedings of the Conference on Research Data Infrastructure, 1, Article no: 64. doi:10.52825/cordi.v1i.370
Project 01: Scholars in the loop? Bridging the gap between distinctive knowledge of small disciplines and training data for AI
Götzelmann, G.; Tonne, D.; Debus, C.
2023. (U. Ehret, M. Frank & KIT-Zentrum MathSEE, Hrsg.)
Exploring storage technologies for HPSS disk caches
Petzold, A.
2023, Oktober 18. HEPiX Autumn Workshop (2023), Victoria, Kanada, 16.–20. Oktober 2023
KCDS Virtual Open House 2023 - Fall
Kühn, E.; Chaichenets, L.
2023. (U. Ehret, M. Frank & KIT-Zentrum MathSEE, Hrsg.)
VπLES- hybrid vortex and grid based method for simulation of turbulent flows at high Re numbers
Kornev, N.; Darji, J.; Tofighian, H.; Denev, J. A.
2023. Proceedings of the 10th International Conference on Vortex Flow Mechanics (ICVFM 2023)
m-team-kit/alise: v1.0-zenodo
Hardt, M.; Millar, P.
2023, Oktober 13. doi:10.5281/zenodo.10262609
User-Oriented, Reusable Components and Tools for the Integration of FDOs into the Daily Research Routine
Jejkal, T.; Inckmann, M.; Kirar, A.
2023, Oktober 10. Helmholtz Metadata Collaboration Konferenz 2023 (HMC 2023), Online, 10.–12. Oktober 2023
Using EVOKS to build controlled vocabularies
Abdildina, G.; Ernst, F.; Aversa, R.; Ost, P.-J.
2023, Oktober 10. Helmholtz Metadata Collaboration Konferenz 2023 (HMC 2023), Online, 10.–12. Oktober 2023
A Tool for Automatic Metadata Extraction and Schema Mapping for SEM Images
Vitali, E. G. G.; Jejkal, T.; Kirar, A.; Joseph, R. E.; Hartmann, V.; Blumenröhr, N.; Inckmann, M.; Aversa, R.; Stotzka, R.
2023, Oktober 10. Helmholtz Metadata Collaboration Konferenz 2023 (HMC 2023), Online, 10.–12. Oktober 2023
Enhancing Usability in Linked Data Editing in Web Applications
Pfeil, A.
2023, Oktober 10. Helmholtz Metadata Collaboration Konferenz 2023 (HMC 2023), Online, 10.–12. Oktober 2023
Towards Research Object Crates 1.2, with ro-crate-java
Pfeil, A.
2023, Oktober 10. Helmholtz Metadata Collaboration Konferenz 2023 (HMC 2023), Online, 10.–12. Oktober 2023
A Short Introduction to the Data Collections Explorer
Ost, P.
2023. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000162885
MatterMiners/tardis: 0.8.0
Giffels, M.; Fischer, M.; Haas, A.; Kroboth, S.; Schnepf, M.; Kuehn, E.; Schuhmacher, P.; Caspart, R.; Cube, F. von; Sammel, D.; Rottler, B.; Wienemann, P.
2023, Oktober. doi:10.5281/zenodo.8426261
Improvement of temperature uniformity by using novel guide vanes in solar external receiver tubes
Long, Y.; Tu, Z.; Piccioni Koch, D.; Frank, M.; Zhu, R.
2023. Applied Thermal Engineering, 233, Art.-Nr.: 121182. doi:10.1016/j.applthermaleng.2023.121182
RelaxNet: A structure-preserving neural network to approximate the Boltzmann collision operator
Xiao, T.; Frank, M.
2023. Journal of Computational Physics, 490, Art.-Nr.: 112317. doi:10.1016/j.jcp.2023.112317
Certificate-based OpenSSH for Federated Identities. Masterarbeit
Brocke, L.
2023, September 29. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000165236
Der krönende Abschluss: Paläographische Besonderheiten im Kontext der automatischen Texterkennung
Frank, L.; Ernst, F.; Götzelmann, G.
2023. P. Helling, P. Gietz & M. Derntl (Hrsg.), FORGE 2023 - Forschungsdaten in den Geisteswissenschaften: Anything Goes?! Forschungsdaten in den Geisteswissenschaften - kritisch betrachtet. Konferenzabstracts, Ed.: M. Derntl. doi:10.5281/zenodo.8386432
EVOKS - Benutzerfreundliche Erstellung kontrollierter Vokabulare für die Geisteswissenschaften
Ernst, F.; Frank, L.; Götzelmann, G.; Eckhardt, K.; Maly, J.; Preker, Y.; Scholz, J.
2023. P. Helling, P. Gietz & M. Derntl (Hrsg.), FORGE 2023 - Forschungsdaten in den Geisteswissenschaften: Anything Goes?! Forschungsdaten in den Geisteswissenschaften - kritisch betrachtet. Konferenzabstracts, Ed.: M. Derntl. doi:10.5281/zenodo.8386468
A numerical study of a cold-mode fluidized bed reactor designed for pyrolysis of plastics
Zhang, F.; Tavakkol, S.; Dercho, S.; Bohlender, L.; Zirwes, T.; Zeller, M.; Vogt, J.; Stapf, D.
2023, September 28. 31. Deutscher Flammentag (2023), Berlin, Deutschland, 27.–28. September 2023
An assessment of fluidized bed dynamics with CPFD simulations
Zhang, F.; Tavakkol, S.; Dercho, S.; Bohlender, L.; Zirwes, T.; Zeller, M.; Vogt, J.; Stapf, D.
2023, September 28. 31. Deutscher Flammentag (2023), Berlin, Deutschland, 27.–28. September 2023
Inverse design of all-dielectric metasurfaces with accidental bound states in the continuum
Gladyshev, S.; Karamanos, T. D.; Kuhn, L.; Beutel, D.; Weiss, T.; Rockstuhl, C.; Bogdanov, A.
2023. Nanophotonics, 12 (19), 3767–3779. doi:10.1515/nanoph-2023-0373
Successful stories in NFFA-Europe Pilot and beyond
Aversa, R.
2023, September 26. NFFA-Europe Workshop: FAIR and Open Data in NFFA-Europe Pilot and Beyond (2023), Garching bei München, Deutschland, 26. September 2023. doi:10.5281/zenodo.8383121
Long Term Interoperability of Distributed Research Data Infrastructures
Politze, M.; Shakeel, Y.; Hunke, S.; Ost, P.; Aversa, R.; Heinrichs, B.; Lang, I.
2023, September 13. 1st Conference on Research Data Infrastructure (CoRDI 2023), Karlsruhe, Deutschland, 12.–14. September 2023
Landscaping European Competence Centres: Skills4EOSC case study
Berberi, L.; Lazzeri, E.; Leister, C.
2023, September 12. 1st Conference on Research Data Infrastructure (CoRDI 2023), Karlsruhe, Deutschland, 12.–14. September 2023. doi:10.5281/zenodo.8349135
Data Collections Explorer – An Easy-to-Use Tool for Sharing and Discovering Research Data
Ost, P.; Shakeel, Y.; Tögel, P.
2023, September 12. 1st Conference on Research Data Infrastructure (CoRDI 2023), Karlsruhe, Deutschland, 12.–14. September 2023
Proton reconstruction with the CMS-TOTEM Precision Proton Spectrometer
Tumasyan, A.; Adam, W.; Andrejkovic, J. W.; Bergauer, T.; Chatterjee, S.; Damanakis, K.; Dragicevic, M.; Escalante Del Valle, A.; Hussain, P. S.; Jeitler, M.; Krammer, N.; Lechner, L.; Liko, D.; Mikulec, I.; Paulitsch, P.; u. a.
2023. Journal of Instrumentation, 18 (09), P09009. doi:10.1088/1748-0221/18/09/P09009
A numerical study of a cold-mode fluidized bed reactor designed for pyrolysis of plastics
Zhang, F.; Tavakkol, S.; Dercho, S.; Bohlender, L.; Zirwes, T.; Zeller, M.; Vogt, J.; Stapf, D.
2023. 31. Deutscher Flammentag für Nachhaltige Verbrennung 2023, Berlin, 27. und 28. September 2023
An assessment of fluidized bed dynamics with CPFD simulations
Zhang, F.; Tavakkol, S.; Bohlender, L.; Dercho, S.; Zirwes, T.; Zeller, M.; Vogt, J.; Stapf, D.
2023. 31. Deutscher Flammentag
Predicting continuum breakdown with deep neural networks
Xiao, T.; Schotthöfer, S.; Frank, M.
2023. Journal of Computational Physics, 489, Art.-Nr.: 112278. doi:10.1016/j.jcp.2023.112278
From implementation to application: FAIR digital objects for training data composition
Blumenröhr, N.; Aversa, R.
2023. Research Ideas and Outcomes, 9, e108706. doi:10.3897/rio.9.e108706
Constraints on anomalous Higgs boson couplings to vector bosons and fermions from the production of Higgs bosons using the τ τ final state
Tumasyan, A.; Adam, W.; Andrejkovic, J. W.; Bergauer, T.; Chatterjee, S.; Damanakis, K.; Dragicevic, M.; Escalante Del Valle, A.; Frühwirth, R.; Jeitler, M.; Krammer, N.; Lechner, L.; Liko, D.; Mikulec, I.; Paulitsch, P.; u. a.
2023. Physical Review D, 108 (3), 032013. doi:10.1103/PhysRevD.108.032013
A survey of the European Open Science Cloud services for expanding the capacity and capabilities of multidisciplinary scientific applications
Calatrava, A.; Asorey, H.; Astalos, J.; Azevedo, A.; Benincasa, F.; Blanquer, I.; Bobak, M.; Brasileiro, F.; Codó, L.; del Cano, L.; Esteban, B.; Ferret, M.; Handl, J.; Kerzenmacher, T.; Kozlov, V.; u. a.
2023. Computer Science Review, 49, Artkl.Nr.: 100571. doi:10.1016/j.cosrev.2023.100571
Integrating batched sparse iterative solvers for the collision operator in fusion plasma simulations on GPUs
Kashi, A.; Nayak, P.; Kulkarni, D.; Scheinberg, A.; Lin, P.; Anzt, H.
2023. Journal of Parallel and Distributed Computing, 178, 69–81. doi:10.1016/j.jpdc.2023.03.012
Soiling determination for parabolic trough collectors based on operational data analysis and machine learning
Brenner, A.; Kahn, J.; Hirsch, T.; Röger, M.; Pitz-Paal, R.
2023. Solar Energy, 259, 257–276. doi:10.1016/j.solener.2023.05.008
MetaStore v1.3.0
Hartmann, V.; Jejkal, T.; Chelbi, S.
2023, Juli 7. doi:10.5281/zenodo.8123797
MatterMiners/cobald: v0.14.0
Fischer, M.; Kuehn, E.; Giffels, M.; Schnepf, M.; Kroboth, S.; Thorsten, M.; Freyermuth, O.
2023, Juli. doi:10.5281/zenodo.8199049
Search for a massive scalar resonance decaying to a light scalar and a Higgs boson in the four b quarks final state with boosted topology
Tumasyan, A.; Adam, W.; Andrejkovic, J. W.; Bergauer, T.; Chatterjee, S.; Damanakis, K.; Dragicevic, M.; Escalante Del Valle, A.; Frühwirth, R.; Jeitler, M.; Krammer, N.; Lechner, L.; Liko, D.; Mikulec, I.; Paulitsch, P.; u. a.
2023. Physics Letters B, 842, Art.-Nr.: 137392. doi:10.1016/j.physletb.2022.137392
Modelling the response of a turbulent jet flame to acoustic forcing in a linearized framework using an active flame approach
Kaiser, T. L.; Varillon, G.; Polifke, W.; Zhang, F.; Zirwes, T.; Bockhorn, H.; Oberleithner, K.
2023. Combustion and Flame, 253, Art.-Nr.: 112778. doi:10.1016/j.combustflame.2023.112778
Computational Studies of Transmembrane Proteins. Dissertation
Kumar, D.
2023, Juni 30. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000152704
A Controlled Vocabulary for Acronyms of NFDI-MatWerk Using the Vocabulary Service EVOKS
Abdildina, G.; Ernst, F.; Aversa, R.; Ost, P.
2023, Juni 29. 1st NFDI-MatWerk Conference on Digital Transformation in Materials Science and Engineering (2023), Siegburg, Deutschland, 27.–29. Juni 2023
Linking Research Data
Kirar, A.; Hunke, S.; Aversa, R.; Stotzka, R.; Heinrichs, B.; Shakeel, Y.; Joseph, R. E.
2023, Juni 29. 1st NFDI-MatWerk Conference on Digital Transformation in Materials Science and Engineering (2023), Siegburg, Deutschland, 27.–29. Juni 2023
Enhancing Multi-Scale Simulations of Charge and Exciton Transfer with Machine Learning Methods. Dissertation
Dohmen, P. M.
2023, Juni 29. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000156196
Demonstration of the Infrastructure Use Case 02: Framework for curation and distribution of reference datasets
Hammerschmidt, T.; Forti, M.; Ávila, L. A. Calderón; Olbricht, J.; Skrotzki, B.; Gedsun, A.; Shakeel, Y.; Stotzka, R.
2023, Juni 27. 1st NFDI-MatWerk Conference on Digital Transformation in Materials Science and Engineering (2023), Siegburg, Deutschland, 27.–29. Juni 2023
Framework for Curation and Distribution of Reference Datasets Example: Creep Data of Ni-Base Superalloys
Ávila, L. A. Calderón; Hammerschmidt, T.; Shakeel, Y.; Gedsun, A.; Olbricht, J.; Aversa, R.; Stotzka, R.; Skrotzki, B.
2023, Juni 27. 1st NFDI-MatWerk Conference on Digital Transformation in Materials Science and Engineering (2023), Siegburg, Deutschland, 27.–29. Juni 2023
Data Collections Explorer – An Information System for the Engineering Sciences
Ost, P.; Stotzka, R.
2023, Juni 27. 1st NFDI-MatWerk Conference on Digital Transformation in Materials Science and Engineering (2023), Siegburg, Deutschland, 27.–29. Juni 2023
Applying Metadata Management: Extraction, Mapping & Visualisation
Abdildina, G.; Heinrichs, B.; Joseph, R. E.; Kirar, A.; Vitali, E. G. G.; Aversa, R.
2023
Metadata Extraction Tool and Schema Mapper for Scanning Electron Microscopy (SEM) images
Vitali, E. G. G.; Kirar, A.; Joseph, R. E.; Hartmann, V.; Blumenröhr, N.; Aversa, R.; Stotzka, R.
2023, Juni 27. 1st NFDI-MatWerk Conference on Digital Transformation in Materials Science and Engineering (2023), Siegburg, Deutschland, 27.–29. Juni 2023
Approximation and Optimization of Global Environmental Simulations with Neural Networks
Azmi, E.; Meyer, J.; Strobl, M.; Weimer, M.; Streit, A.
2023. PASC ’23: Proceedings of the Platform for Advanced Scientific Computing Conference Platform for Advanced Scientific Computing Conference (2023) Davos, Schweiz, 26.06.2023–28.06.2023, Art.-Nr.: 19, Association for Computing Machinery (ACM). doi:10.1145/3592979.3593418
mytoken - secure long-lived tokens for you - everywhere
Zachmann, G.; Hardt, M.; Gudu, D. M.
2023, Juni 21. EGI Conference (2023), Poznań, Polen, 19.–23. Juni 2023
Unraveling the effect of hydrogenation on the mechanical properties of coiled carbon nanotubes: a molecular dynamics study
Saray, M. A.; Baghani, M.; Rajabpour, A.; Sharifian, A.; Baniassadi, M.
2023. Physical Chemistry Chemical Physics, 25 (23), 15988–16000. doi:10.1039/D3CP00894K
DS2STAC: A Python package for harvesting and ingesting (meta)data into STAC-based catalog infrastructures
Hadizadeh, M.; Lorenz, C.; Barthlott, S.; Fösig, R.; Çayoğlu, U.; Ulrich, R.; Bach, F.
2023, Juni 9. 8th Data Science Symposium (2023), Kiel, Deutschland, 8.–9. Juni 2023. doi:10.5281/zenodo.8086566
Synergies between Numerical Methods for Kinetic Equations and Neural Networks. Dissertation
Schotthöfer, S.
2023, Juni 5. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000158838
Training: Bringing your AI models to EOSC
Heredia, I.; Alibabaei, K. F.; Calatrava, A.; Kozlov, V.
2023, Juni. EGI Conference (2023), Poznań, Polen, 19.–23. Juni 2023
MLOps platforms review: case study for AI4EOSC
L Berberi; V Kozlov; J Céspedes Sisniega; Á López García
2023, Juni. EGI Conference (2023), Poznań, Polen, 19.–23. Juni 2023. doi:10.13140/RG.2.2.13326.33609
MSLE: An ontology for materials science laboratory equipment – Large-scale devices for materials characterization
Jalali, M.; Mail, M.; Aversa, R.; Kübel, C.
2023. Materials Today Communications, 35, Art.-Nr.: 105532. doi:10.1016/j.mtcomm.2023.105532
The Three-Phase Contact Potential Difference Modulates the Water Surface Charge
Artemov, V.; Frank, L.; Doronin, R.; Stärk, P.; Schlaich, A.; Andreev, A.; Leisner, T.; Radenovic, A.; Kiselev, A.
2023. The Journal of Physical Chemistry Letters, 14 (20), 4796–4802. doi:10.1021/acs.jpclett.3c00479
Uncertainty quantification and numerical methods in charged particle radiation therapy. Dissertation
Stammer, P.
2023, Mai 4. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000158316
CAG-Repeat RNA Hairpin Folding and Recruitment to Nuclear Speckles with a Pivotal Role of ATP as a Cosolute
Hautke, A.; Hautke, A.; Voronin, A.; Idiris, F.; Riel, A.; Lindner, F.; Lelièvre-Büttner, A.; Zhu, J.; Appel, B.; Fatti, E.; Weis, K.; Müller, S.; Schug, A.; Ebbinghaus, S.
2023. Journal of the American Chemical Society, 145 (17), 9571–9583. doi:10.1021/jacs.2c13653
MatterMiners/tardis: 0.7.1
Giffels, M.; Fischer, M.; Haas, A.; Kroboth, S.; Schnepf, M.; Kuehn, E.; PSchuhmacher; Caspart, R.; Cube, F. von; Sammel, D.; Rottler, B.; LGTM Migrator; Wienemann, P.
2023, Mai. doi:10.5281/zenodo.7943895
Extracting, Mapping, Editing SEM Metadata
Aversa, R.; Joseph, R.; Vitali, E.; Kirar, A.
2023, April 26. 1st Generelle KIT-Informationsveranstaltung MaTeLiS Pilot-Projekt Gerätepool (2023), Online, 26. April 2023
O3as: Ozone trend visualisations and return dates developed within within EOSC-synergy
Kerzenmacher, T.; Kozlov, V.; Esteban Sanchis, B.; Cayoglu, U.; Hardt, M.; Braesicke, P.
2023, April 24. European Geosciences Union General Assembly (EGU 2023), Wien, Österreich, 23.–28. April 2023. doi:10.5194/egusphere-egu23-15375
Metadata Extraction and Mapping Service
Joseph, R. E.; Vitali, E. G. G.; Kirar, A.; Aversa, R.
2023, April 14. National Research Data Infrastructure for Materials Science and Engineering TA-MDI Working Meeting RWTH Aachen (NFDI-MatWerk 2023), Aachen, Deutschland, 12.–14. April 2023
MetaStore v1.2.3
Hartmann, V.; Jejkal, T.; Chelbi, S.
2023, April 13. doi:10.5281/zenodo.7825567
Implicit propagation of directly addressed grids in lattice Boltzmann methods
Kummerländer, A.; Dorn, M.; Frank, M.; Krause, M. J.
2023. Concurrency and Computation: Practice and Experience, 35 (8), Art.-Nr.: e7509. doi:10.1002/cpe.7509
A Flux Reconstruction Stochastic Galerkin Scheme for Hyperbolic Conservation Laws
Xiao, T.; Kusch, J.; Koellermeier, J.; Frank, M.
2023. Journal of Scientific Computing, 95 (1), 18. doi:10.1007/s10915-023-02143-3
Experimental and numerical investigation of flame stabilization and pollutant formation in matrix stabilized ammonia-hydrogen combustion
Vignat, G.; Zirwes, T.; Toro, E. R.; Younes, K.; Boigné, E.; Muhunthan, P.; Simitz, L.; Trimis, D.; Ihme, M.
2023. Combustion and Flame, 250, Article no: 112642. doi:10.1016/j.combustflame.2023.112642
Process Insights into Perovskite Thin‐Film Photovoltaics from Machine Learning with In Situ Luminescence Data
Laufer, F.; Ziegler, S.; Schackmar, F.; Viteri, E. A. M.; Götz, M.; Debus, C.; Isensee, F.; Paetzold, U. W.
2023. Solar RRL, 7 (7), Art.-Nr.: 2201114. doi:10.1002/solr.202201114
Development of a scoring function for comparing simulated and experimental tumor spheroids
Herold, J.; Behle, E.; Rosenbauer, J.; Ferruzzi, J.; Schug, A.
2023. (P. M. Altrock, Hrsg.) PLOS Computational Biology, 19 (3), Art.-Nr. e1010471. doi:10.1371/journal.pcbi.1010471
Token solutions from KIT for SSH with OIDC
Hardt, M.; Zachmann, G.; Gudu, D.
2023, März 23. International Symposium on Grids & Clouds (ISGC 2023), Taipeh, Taiwan, 19.–24. März 2023
IG FAIR Digital Object Fabric
Stotzka, R.; Chen, X.; Hellström, M.; Quick, R.
2023, März 22. 20th RDA Plenary Meeting (2023), Göteborg, Schweden, 21.–23. März 2023
FAIR DO Applications: Achievements and Challenges
Blumenröhr, N.
2023, März 22. 20th RDA Plenary Meeting (2023), Göteborg, Schweden, 21.–23. März 2023
How FAIR DOs Enable Interoperability
Stotzka, R.; Chen, X.; Hellström, M.; Quick, R.
2023, März 20. Global Research Commons: Europe And Beyond (2023), Göteborg, Schweden, 20. März 2023
Schrifttradition digital: Rituell reine Torarollen in der jüdischen Diaspora
Frank, L.; Eichhorst, D.; Ullrich, R.; Haddassah Wendl, K.; Martini, A.; Tonne, D.
2023. DHd2023: Open Humanities, Open Culture. Konferenzabstracts. Hrsg.: A. Busch, 283–286, Zenodo. doi:10.5281/zenodo.7715864
Creating Exemplary RDM Reference Datasets: Technical Process Overview
Shakeel, Y.; Abdildina, G.; Aversa, R.; Ávila, L. A. Calderón; Blumenröhr, N.; Diebels, S.; Engstler, M.; Fell, J.; Fritzen, F.; Hartmann, V.; Herrmann, H.-G.; Jejkal, T.; Joseph, R.; Kirar, A.; Laadhar, A.; u. a.
2023, März 9. All-Hands-on-Deck congress from the NFDI-MatWerk (2023), Siegburg, Deutschland, 8.–9. März 2023
Metadata Extraction Tool and Schema Mapper for Scanning Electron Microscopy (SEM) images
Vitali, E. G. G.; Joseph, R. E.; Aversa, R.
2023, März 9. 2nd National Research Data Infrastructure for Materials Science and Engineering : All-Hands-on-Deck (NFDI-MatWerk 2023), Siegburg, Deutschland, 8.–9. März 2023
Conceptual Map of TA-MDI Results
Aversa, R.; Abdildina, G.; Chelbi, S.; Ernst, F.; Jejkal, T.; Joseph, R.; Kirar, A.; Ost, P.; Pfeil, A.; Shakeel, Y.; Stotzka, R.; Vitali, E.; Grünwald, K.; Hunke, S.; Moghaddam, A.; u. a.
2023, März 9. 2nd National Research Data Infrastructure for Materials Science and Engineering : All-Hands-on-Deck (NFDI-MatWerk 2023), Siegburg, Deutschland, 8.–9. März 2023
The Scheme for a Metadata Schema - Unlocking the Power of Schemas
Joseph, R. E.; Aversa, R.
2023, März 9. 2nd Workshop "Joint Lab : Integrated Model and Data Driven Material Characterization" (MDMC 2023), Jülich, Deutschland, 8.–10. März 2023
Proposed MDI – Architecture Concept Draft
Shakeel, Y.; Hunke, S.
2023, März 8. 2nd National Research Data Infrastructure for Materials Science and Engineering : All-Hands-on-Deck (NFDI-MatWerk 2023), Siegburg, Deutschland, 8.–9. März 2023
A robust collision source method for rank adaptive dynamical low-rank approximation in radiation therapy
Kusch, J.; Stammer, P.
2023. ESAIM: Mathematical Modelling and Numerical Analysis, 57 (2), 865–891. doi:10.1051/m2an/2022090
Exploiting graph neural networks to perform finite-difference time-domain based optical simulations
Kuhn, L.; Repän, T.; Rockstuhl, C.
2023. APL Photonics, 8 (3), Article no: 036109. doi:10.1063/5.0139004
Impact of carbon dioxide and nitrogen addition on the global structure of hydrogen flames
Eckart, S.; Pio, G.; Zirwes, T.; Zhang, F.; Salzano, E.; Krause, H.; Bockhorn, H.
2023. Fuel, 335, Art.-Nr.: 126929. doi:10.1016/j.fuel.2022.126929
Constructing relaxation systems for lattice Boltzmann methods
Simonis, S.; Frank, M.; Krause, M. J.
2023. Applied Mathematics Letters, 137, Art.-Nr.: 108484. doi:10.1016/j.aml.2022.108484
Machine learning-based conditional mean filter: A generalization of the ensemble Kalman filter for nonlinear data assimilation
Hoang, T.-V.; Krumscheid, S.; Matthies, H. G.; Tempone, R.
2023. Foundations of Data Science, 5, 56–80. doi:10.3934/fods.2022016
Scanning Electron Microscopy (SEM) - Metadata extraction tool and schema mapper
Joseph, R. E.; Vitali, E. G. G.; Aversa, R.
2023, Februar 27. MaRDA Annual Meeting (2023), Online, 21.–23. Februar 2023. doi:10.21955/materialsopenres.1115090.1
Adaptive Stratification (ADSS)
Krumscheid, S.; Pettersson, P.; Yuan, F.
2023, Februar 21. doi:10.5281/zenodo.7660514
base-repo
Jejkal, T.; Hartmann, V.
2023, Februar 21. doi:10.5281/zenodo.7660036
MatterMiners/tardis: The Escape
Giffels, M.; Fischer, M.; Haas, A.; Kroboth, S.; Schnepf, M.; Kuehn, E.; PSchuhmacher; Caspart, R.; Cube, F. von; LGTM Migrator; Wienemann, P.
2023, Februar. doi:10.5281/zenodo.7680164
Towards cellular digital twins of in vivo tumors
Behle, E.; Herold, J. M.; Schug, A. H.
2023. Biophysical Journal, 122 (3 Supplement 1), 301a–302a. doi:10.1016/j.bpj.2022.11.1700
Using machine learning to parametrize large scale tumor simulations
Herold, J. M.; Behle, E.; Schug, A. H.
2023. Biophysical Journal, 122 (3 Supplement 1), 413a. doi:10.1016/j.bpj.2022.11.2243
Extending the distributed computing infrastructure of the CMS experiment with HPC resources
Adelman-McCarthy, J.; Boccali, T.; Caspart, R.; Delgado Peris, A.; Fischer, M.; Flix Molina, J.; Giffels, M.; Hernández, J. M.; Hufnagel, D.; Kühn, E.; Madlener, T.; Mohapatra, A. K.; Ozturk, H.; Pérez-Calero Yzquierdo, A.; Spiga, D.; u. a.
2023. Journal of Physics: Conference Series, 2438 (1), Artkl.Nr.: 012039. doi:10.1088/1742-6596/2438/1/012039
Deep learning approaches to building rooftop thermal bridge detection from aerial images
Mayer, Z.; Kahn, J.; Hou, Y.; Götz, M.; Volk, R.; Schultmann, F.
2023. Automation in Construction, 146, Art.-Nr.: 104690. doi:10.1016/j.autcon.2022.104690
Modeling of radiation heat transfer in dense-bed flows of solids in indirectly heated rotary kilns
Tavakkol, S.; Zirwes, T.; Denev, J. A.; Bockhorn, H.; Stapf, D.
2023. Thermal Science and Engineering Progress, 38, Article no: 101545. doi:10.1016/j.tsep.2022.101545
Multivariate error modeling and uncertainty quantification using importance (re-)weighting for Monte Carlo simulations in particle transport
Stammer, P.; Burigo, L.; Jäkel, O.; Frank, M.; Wahl, N.
2023. Journal of Computational Physics, 473, Artkel-Nr.: 111725. doi:10.1016/j.jcp.2022.111725
Artificial Intelligence for the #EOSC
Kozlov, V.
2023, Januar 13. High-Performance Computing (HPC) and Data-Intensive Computing (DIC) User Meeting (2023), Karlsruhe, Deutschland, 13. Januar 2023
Precise Energy Consumption Measurements of Heterogeneous Artificial Intelligence Workloads
Caspart, R.; Ziegler, S.; Weyrauch, A.; Obermaier, H.; Raffeiner, S.; Schuhmacher, L. P.; Scholtyssek, J.; Trofimova, D.; Nolden, M.; Reinartz, I.; Isensee, F.; Götz, M.; Debus, C.
2023. High Performance Computing. ISC High Performance 2022 International Workshops – Hamburg, Germany, May 29 – June 2, 2022, Revised Selected Papers. Ed.: H. Anzt, 108–121, Springer International Publishing. doi:10.1007/978-3-031-23220-6_8
Reporting electricity consumption is essential for sustainable AI
Debus, C.; Piraud, M.; Streit, A.; Theis, F.; Götz, M.
2023. Nature Machine Intelligence, 5 (11), 1176–1178. doi:10.1038/s42256-023-00750-1
Templates Hub for research communities
Esteban Sanchis, B.; Laures, C.; Hardt, M.; Kozlov, V.
2023. 12th IberGrid "Better Software for Better Science" (2023), Benasque, Spanien, 25.–29. September 2023
iMagine: imaging data and services for aquatic science
Kozlov, V.; Sipos, G.; Schaap, D.; López Garcia, A.
2023. 38th ISC High Performance Computing (ISC HPC 2023), Hamburg, Deutschland, 22.–25. Mai 2023
D6.1 : Analysis of user applications, collection of requirements
Lisana Berberi; Heredia, I.; Kozlov, V.; Vollmer, E.; Sainz-Pardo, J.; Bartok, J.; Fojud, A.; Blaszczak, M.; Rausch, A.; Alibabaei, K. F.
2023. Zenodo. doi:10.5281/zenodo.7635453
D1.2 : AI4EOSC Data Management Plan
Aguilar, F.; Kozlov, V.; Heredia, I.
2023. Zenodo. doi:10.5281/zenodo.7649075
D3.1 : State of the art landscaping and initial platform requirements specification
Moltó, G.; Calatrava, A.; Nguyen, G.; Díaz, J. S.-P.; Lisana Berberi; Kozlov, V.; Cruz, M. S.
2023. Zenodo. doi:10.5281/zenodo.7635430
D3.2 : Initial High Level Architecture
García, Á. L.; Lisana Berberi; Kozlov, V.; Antonacci, M.; Calatrava, A.; Langarita, S.; Moltó, G.
2023. Zenodo. doi:10.5281/zenodo.7728882
Global sensitivity analysis of a one-dimensional ocean biogeochemical model
Mamnun, N.; Völker, C.; Krumscheid, S.; Vrekoussis, M.; Nerger, L.
2023. Socio-Environmental Systems Modelling, 5, Art.-Nr.: 18613. doi:10.18174/sesmo.18613
Cat4KIT: A Cross-institutional Data Catalog Framework for the FAIRification of Environmental Research Data
Hadizadeh, M.; Lorenz, C.; Barthlott, S.; Fösig, R.; Çayoğlu, U.; Ulrich, R.; Bach, F.
2023. E-Science-Tage 2023. Hrsg.: V. Heuveline, 149–160, heiBOOKS. doi:10.11588/heibooks.1288.c18072
Stochastic upscaling for UP with OPM and ADSS
Pettersson, P.; Keilegavlen, E.; Sandve, T. H.; Gasda, S.; Krumscheid, S.
2023. doi:10.5281/zenodo.10362253
MetadataHub
Hartmann, V.; Heinrichs, B.
2023. doi:10.5281/zenodo.10351597
Data Competence for Photonic Nanotechnologies
Meyer, J.; Asadova, N.; Beutel, D.; Çayoğlu, U.; Rockstuhl, C.; Tristram, F.
2023. E-Science-Tage 2023. Empower Your Research – Preserve Your Data. Eds.: Vincent Heuveline, Nina Bisheh und Philipp Kling, 301–305, heiBOOKS. doi:10.11588/heibooks.1288.c18092
Low-Cost Three-Dimensionally Printed Inverted Plug and Play Optical Instrument for Microfluidic Imaging
Markov, D.; Grigorov, E.; Kirov, B.; Denev, J. A.; Galabov, V.; Marinov, M. B.
2023. Micro, 3 (2), 537–548. doi:10.3390/micro3020036
GPU-resident sparse direct linear solvers for alternating current optimal power flow analysis
Świrydowicz, K.; Koukpaizan, N.; Ribizel, T.; Göbel, F.; Abhyankar, S.; Anzt, H.; Peleš, S.
2023. doi:10.48550/arXiv.2306.14337
Numerical simulation of thermal decomposition of polyethylene with a single-particle model
Zhang, F.
2023. 14th International Conference on Computational Heat and Mass Transfer (ICCHMT 2023), Düsseldorf, Deutschland, 4.–8. September 2023
A community‐endorsed open‐source lexicon for contrast agent–based perfusion MRI : A consensus guidelines report from the ISMRM Open Science Initiative for Perfusion Imaging (OSIPI)
on behalf of The Perfusion Study Group of the ISMRM; Dickie, B. R.; Ahmed, Z.; Arvidsson, J.; Bell, L. C.; Buckley, D. L.; Debus, C.; Fedorov, A.; Floca, R.; Gutmann, I.; van der Heijden, R. A.; van Houdt, P. J.; Sourbron, S.; Thrippleton, M. J.; Quarles, C.; u. a.
2023. Magnetic Resonance in Medicine. doi:10.1002/mrm.29840
A search for new physics in central exclusive production using the missing mass technique with the CMS detector and the CMS-TOTEM precision proton spectrometer
CMS and TOTEM Collaborations; Tumasyan, A.; Adam, W.; Andrejkovic, J. W.; Bergauer, T.; Chatterjee, S.; Damanakis, K.; Dragicevic, M.; Valle, A. E. D.; Hussain, P. S.; Jeitler, M.; Krammer, N.; Lechner, L.; Liko, D.; Mikulec, I.; u. a.
2023. The European Physical Journal C, 83 (9), Art - Nr.: 827. doi:10.1140/epjc/s10052-023-11687-5
An iterative methodology for REDIM reduced chemistry generation and its validation for partially-premixed combustion
Shrotriya, P.; Schießl, R.; Yu, C.; Bykov, V.; Zirwes, T.; Maas, U.
2023. Combustion Theory and Modelling, 1–34. doi:10.1080/13647830.2023.2260350
Long Term Interoperability of Distributed Research Data Infrastructures
Politze, M.; Shakeel, Y.; Hunke, S.; Ost, P.; Aversa, R.; Heinrichs, B.; Lang, I.
2023. Proceedings of the Conference on Research Data Infrastructure, 1. doi:10.52825/cordi.v1i.348
Data Collections Explorer – An Easy-to-Use Tool for Sharing and Discovering Research Data
Ost, P.; Shakeel, Y.; Tögel, P.
2023. Proceedings of the Conference on Research Data Infrastructure. Ed.: Y. Sure-Vetter. Vol. 1, 3 S., Technische Informationsbibliothek Open Publishing (TIB Open Publishing). doi:10.52825/cordi.v1i.405
RNA contact prediction by data efficient deep learning
Taubert, O.; von der Lehr, F.; Bazarova, A.; Faber, C.; Knechtges, P.; Weiel, M.; Debus, C.; Coquelin, D.; Basermann, A.; Streit, A.; Kesselheim, S.; Götz, M.; Schug, A.
2023. Communications Biology, 6 (1), 913. doi:10.1038/s42003-023-05244-9
AI/ML-based support of satellite sensing for cloud cover classification. Masterarbeit
Wessel, E.
2023. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000161948
Sparse matrix‐vector and matrix‐multivector products for the truncated SVD on graphics processors
Aliaga, J. I.; Anzt, H.; Quintana-Ortí, E. S.; Tomás, A. E.
2023. Concurrency and Computation: Practice and Experience, 35 (28), Art.-Nr.: e7871. doi:10.1002/cpe.7871
Collaboration through reuse: Analyzing letters explored by others
Tögel, P.
2023. Digital Humanities 2023: Book of Abstracts. Ed.: A. Baillot, 471–472, Zenodo. doi:10.5281/zenodo.8108012
Search for light Higgs bosons from supersymmetric cascade decays in collisions at
CMS Collaboration; Tumasyan, A.; Adam, W.; Andrejkovic, J. W.; Bergauer, T.; Chatterjee, S.; Damanakis, K.; Dragicevic, M.; Valle, A. E. D.; Frühwirth, R.; Jeitler, M.; Krammer, N.; Lechner, L.; Liko, D.; Mikulec, I.; u. a.
2023. The European Physical Journal C, 83 (7), Art.-Nr.: 571. doi:10.1140/epjc/s10052-023-11581-0
Measurement of the differential production cross section as a function of the jet mass and extraction of the top quark mass in hadronic decays of boosted top quarks
CMS Collaboration; Tumasyan, A.; Adam, W.; Andrejkovic, J. W.; Bergauer, T.; Chatterjee, S.; Damanakis, K.; Dragicevic, M.; Valle, A. E. D.; Hussain, P. S.; Jeitler, M.; Krammer, N.; Lechner, L.; Liko, D.; Mikulec, I.; u. a.
2023. The European Physical Journal C, 83 (7), Art.-Nr.: 560. doi:10.1140/epjc/s10052-023-11587-8
Assessment of Numerical Accuracy and Parallel Performance of OpenFOAM and its Reacting Flow Extension EBIdnsFoam
Zirwes, T.; Sontheimer, M.; Zhang, F.; Abdelsamie, A.; Pérez, F. E. H.; Stein, O. T.; Im, H. G.; Kronenburg, A.; Bockhorn, H.
2023. Flow, Turbulence and Combustion, 111 (2), 567–602. doi:10.1007/s10494-023-00449-8
Massively Parallel Genetic Optimization Through Asynchronous Propagation of Populations
Taubert, O.; Weiel, M.; Coquelin, D.; Farshian, A.; Debus, C.; Schug, A.; Streit, A.; Götz, M.
2023. doi:10.48550/arXiv.2301.08713
Mixed Precision Algebraic Multigrid on GPUs
Tsai, Y.-H. M.; Beams, N.; Anzt, H.
2023. Parallel Processing and Applied Mathematics – 14th International Conference, PPAM 2022, Gdansk, Poland, September 11–14, 2022, Revised Selected Papers, Part I. Ed.: R. Wyrzykowski, 113 – 125, Springer International Publishing. doi:10.1007/978-3-031-30442-2_9
Massively Parallel Genetic Optimization Through Asynchronous Propagation of Populations
Taubert, O.; Weiel, M.; Coquelin, D.; Farshian, A.; Debus, C.; Schug, A.; Streit, A.; Götz, M.
2023. High Performance Computing – 38th International Conference, ISC High Performance 2023, Hamburg, Germany, May 21–25, 2023, Proceedings. Ed.: A. Bhatele, 106 – 124, Springer Nature Switzerland. doi:10.1007/978-3-031-32041-5_6
A Mixed Precision Randomized Preconditioner for the LSQR Solver on GPUs
Georgiou, V.; Boutsikas, C.; Drineas, P.; Anzt, H.
2023. High Performance Computing – 38th International Conference, ISC High Performance 2023, Hamburg, Germany, May 21–25, 2023, Proceedings. Ed.: A. Bhatele, 164 – 181, Springer Nature Switzerland. doi:10.1007/978-3-031-32041-5_9
Sp(2N) Lattice Gauge Theories and Extensions of the Standard Model of Particle Physics
Bennett, E.; Holligan, J.; Hong, D. K.; Hsiao, H.; Lee, J.-W.; Lin, C.-J. D.; Lucini, B.; Mesiti, M.; Piai, M.; Vadacchino, D.
2023. doi:10.48550/arXiv.2304.01070
FAIR Data Management Workflow for MRI Data
Aversa, R.; MacKinnon, N.; Blumenröhr, N.
2023. 3rd Workshop on Metadata and Research (objects) Management for Linked Open Science (DaMaLOS 2023) - Co-located with Extended Semantic Web Conference (ESWC), Online, 28.-29.05.2023, paper 5349. doi:10.4126/FRL01-006444992
Klassifizierungsprobleme : Maschinelles Lernen und KI im Mathematikunterricht
Schönbrodt, S.; Frank, M.
2023. Beiträge zum Mathematikunterricht 2022, Gesellschaft für Didaktik der Mathematik (GDM). doi:10.17877/DE290R-23426
Sp(2N) Lattice Gauge Theories and Extensions of the Standard Model of Particle Physics
Bennett, E.; Holligan, J.; Hong, D. K.; Hsiao, H.; Lee, J.-W.; Lin, C.-J. D.; Lucini, B.; Mesiti, M.; Piai, M.; Vadacchino, D.
2023. Universe, 9 (5), Art.-Nr.: 236. doi:10.3390/universe9050236
Quantifying uncertain system outputs via the multi-level Monte Carlo method --- distribution and robustness measures
Ayoul-Guilmard, Q.; Ganesh, S.; Krumscheid, S.; Nobile, F.
2023. International Journal for Uncertainty Quantification, 13 (5), 61–98. doi:10.1615/Int.J.UncertaintyQuantification.2023045259
Thermal Bridges on Building Rooftops
Mayer, Z.; Kahn, J.; Götz, M.; Hou, Y.; Beiersdörfer, T.; Blumenröhr, N.; Volk, R.; Streit, A.; Schultmann, F.
2023. Scientific Data, 10 (1), Art.-Nr.: 268. doi:10.1038/s41597-023-02140-z
An interdisciplinary approach to data management
Altschuh, P.; Bräse, S.; Hartmann, T.; Jaeger, D.; Jung, N.; Krauss, P.; Leister, C.; Nestler, B.; Schiefer, G.; Schreiber, C.; Selzer, M.; Starman, M.; Tosato, G.; Koeppe, A.
2023. E-Science-Tage 2023: Empower Your Research – Preserve Your Data (2023), Heidelberg, Deutschland, 1.–3. März 2023. doi:10.11588/heidok.00033126
Effect of nozzle up-scaling on coaxial, gas-assisted atomization
Zhang, F.; Wachter, S.; Zirwes, T.; Jakobs, T.; Zarzalis, N.; Trimis, D.; Kolb, T.; Stapf, D.
2023. Physics of Fluids, 35 (4), Art.-Nr.: 043302. doi:10.1063/5.0141156
Isotopic measurements in water vapor, precipitation, and seawater during EURECA
Bailey, A.; Aemisegger, F.; Villiger, L.; Los, S. A.; Reverdin, G.; Quiñones Meléndez, E.; Acquistapace, C.; Baranowski, D. B.; Böck, T.; Bony, S.; Bordsdorff, T.; Coffman, D.; de Szoeke, S. P.; Diekmann, C. J.; Dütsch, M.; u. a.
2023. Earth System Science Data, 15 (1), 465–495. doi:10.5194/essd-15-465-2023
Multiscale Modeling of Spheroid Tumors: Effect of Nutrient Availability on Tumor Evolution
Rosenbauer, J.; Berghoff, M.; Glazier, J. A.; Schug, A.
2023. The Journal of Physical Chemistry B, 127 (16), 3607–3615. doi:10.1021/acs.jpcb.2c08114
Peer-Reviewing and Submission Dynamics Around Top Software-Engineering Venues: A Juniors’ Perspective
Alchokr, R.; Krüger, J.; Shakeel, Y.; Saake, G.; Leich, T.
2023. T. M. Engels G. Hebig R. (Hrsg.), Software Engineering 2023 Ed.: G. Engels, 31–32, Gesellschaft für Informatik (GI)
Training Parameterized Quantum Circuits with Triplet Loss
Wendenius, C.; Kuehn, E.; Streit, A.
2023. Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings. Part V. Ed.: M.-R. Amini, 515–530, Springer Nature Switzerland. doi:10.1007/978-3-031-26419-1_31
base-repo v1.4.0
Jejkal, T.; Hartmann, V.
2023. doi:10.5281/zenodo.7744529
Metaphors of Religion
Gebhard, H.; Jha, V.; Tögel, P.; Dipper, S.; Elwert, F.; Tonne, D.
2023. DHd2023: Open Humanities, Open Culture. Konferenzabstracts. Hrsg.: A. Busch, 399–401, Zenodo. doi:10.5281/zenodo.7715325
Numerical simulations of air-assisted primary atomization at different air-to-liquid injection angles
Zhang, F.; Zirwes, T.; Wachter, S.; Jakobs, T.; Habisreuther, P.; Zarzalis, N.; Trimis, D.; Kolb, T.; Bockhorn, H.; Stapf, D.
2023. International journal of multiphase flow, 158, Art.-Nr.: 104304. doi:10.1016/j.ijmultiphaseflow.2022.104304
Near-wall dynamics of premixed methane/air flames
Zhu, J.; Pan, J.; Zhang, F.; Zirwes, T.; Ojo, A. O.; Li, F.
2023. Fuel, 331, Art.Nr. 125774. doi:10.1016/j.fuel.2022.125774
Using Ginkgo’s memory accessor for improving the accuracy of memory-bound low precision BLAS
Grützmacher, T.; Anzt, H.; Quintana-Ortí, E. S.
2023. Software - Practice and Experience, 531 (1), 81–98. doi:10.1002/spe.3041
2022
Statistical Learning of Nonlinear Stochastic Differential Equations from Nonstationary Time Series using Variational Clustering
Boyko, V.; Krumscheid, S.; Vercauteren, N.
2022. Multiscale Modeling & Simulation, 20 (4), 1251–1283. doi:10.1137/21M1403989
cc-metric-collector
Gruber, T.; Obermaier, H.
2022, Dezember 14. doi:10.5281/ZENODO.7438287
Python support for OIDC Access Tokens – FLAAT
Hardt, M.; Esteban, B. Sanchis; Gudu, D.; Stevanovic, U.; Kozlov, V.
2022, Dezember 13. doi:https://doi.org/10.5281/zenodo.7433611
Whitepaper der ZKI AG edu-ID zur Verortung des Konzepts einer edu-ID in der aktuellen Landschaft digitaler Identitäten in Deutschland und Europa
Bacharach, G.; Gietz, P.; Gragert, G.; Gündogan, A.; Hardt, M.; Michels, T.; Oberknapp, B.; Pempe, W.; Pfeiffer, R.; Smidt, M.; Soldo, E.
2022. Zenodo. doi:10.5281/zenodo.7425176
Guidance on Versioning of Digital Assets
Buttigieg, P. L.; Cristiano, L.; Curdt, C.; Ishan, A. Z.; Jejkal, T.; Koch, C.; Mannix, O.; Mohr, D. P.; Pirogov, A.; Stucky, K. U.; Helmholtz Metadata Collaboration (HMC)
2022. (S. Lorenz, A. Finke, C. Langenbach, K. Maier-Hein, S. Sandfeld & R. Stotzka, Hrsg.), GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel. doi:10.3289/HMC_publ_04
Dynamical low-rank approximation for Marshak waves
Ceruti, G.; Frank, M.; Kusch, J.
2022. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000154134
A low-rank power iteration scheme for neutron transport criticality problems
Kusch, J.; Whewell, B.; Whewell, B.; McClarren, R.
2022. Journal of Computational Physics, 470, 111587. doi:10.1016/j.jcp.2022.111587
A Computational Workflow for Interdisciplinary Deep Learning Projects utilizing bwHPC Infrastructure
Schilling, M.; Neumann, O.; Scherr, T.; Cui, H.; Popova, A. A.; Levkin, P. A.; Götz, M.; Reischl, M.
2022. Proceedings of the 7th bwHPC Symposium, 69–74, Kommunikations- und Informationszentrum (kiz). doi:10.18725/OPARU-46069
dianagudu/motley_cue: v0.5.0
Gudu, D.; Hardt, M.
2022, November 24. doi:10.5281/zenodo.7353878
Dynamical stability indicator based on autoregressive moving-average models: Critical transitions and the Atlantic meridional overturning circulation
Rodal, M.; Krumscheid, S.; Madan, G.; Henry LaCasce, J.; Vercauteren, N.
2022. Chaos: An Interdisciplinary Journal of Nonlinear Science, 32 (11), Art.-Nr.: 113139. doi:10.1063/5.0089694
Correlated Coevolving Mutations at Protein–Protein Interfaces
Schug, A.
2022. Protein Interactions – The Molecular Basis of Interactomics. Ed.: V. Helms, 39–52, John Wiley and Sons. doi:10.1002/9783527830503.ch3
EOSC-synergy/eosc-perf-frontend: v1.2.0
Laures, C.; Esteban Sanchis, B.; Kozlov, V.; Hardt, M.
2022, November 9. doi:10.5281/zenodo.7366363
Guidelines for Secure Operation of Attribute Authorities and issuers of statements for entities (G071)
Groep, D. L.; Collier, I.; Dack, T.; Jensen, J.; Kelsey, D.; Kremers, M.; Neilson, I.; Paetow, S.; Short, H.; Sallé, M.; Stevanovic, U.
2022. IGTF and AARC Community. doi:10.5281/zenodo.5927799
Implementing Asynchronous Jacobi Iteration on GPUs
Tsai, Y.-H. M.; Nayak, P.; Chow, E.; Anzt, H.
2022. 2022 IEEE/ACM Workshop on Latest Advances in Scalable Algorithms for Large-Scale Heterogeneous Systems (ScalAH). IEEE/ACM Workshop on Latest Advances in Scalable Algorithms for Large-Scale Heterogeneous Systems (ScalAH 2022) Dallas, TX, USA, 13.11.2022–18.11.2022, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ScalAH56622.2022.00006
Numerical analysis of a developing turbulent flow and conjugate heat transfer for molten salt and liquid sodium in a solar receiver
Khuda, M. A.; Khalesi, J.; Tu, Z.; Long, Y.; Piccioni Koch, D.; Sarunac, N.
2022. Applied Thermal Engineering, 217, Art.-Nr.: 119156. doi:10.1016/j.applthermaleng.2022.119156
EOSC-synergy/o3webapp: o3webapp 1.0.1
Çevik, F.; Marwitz, T.; Prjanikov, N.; Rönn, S. von; Zeller, J.; Laures, C.; Kozlov, V.; Sanchis, B. E.; Cayoglu, U.; Kerzenmacher, T.
2022, November. doi:10.5281/zenodo.7372070
A FAIR Digital Object Lab Software Stack
Pfeil, A.
2022, Oktober 27. 1st International Conference of FAIR Digital Objects (FDO 2022), Leiden, Niederlande, 26.–28. Oktober 2022
New Work - Erfahrungen der Piloten - Pilotprojekt SCC
Kühn, E.
2022. (I. Hartmann-Dietsch & M. Landgraf, Hrsg.)
Compare computing sites using EOSC-Performance service
Esteban-Sachnis, B.; Laures, C.
2022, Oktober 13. 11th IberGrid "Better Software for Better Science" (2022), Faro, Portugal, 10.–14. Oktober 2022
FAIR Digital Object Application Case for Composing Machine Learning Training Data
Blumenröhr, N.; Jejkal, T.; Pfeil, A.; Stotzka, R.
2022. Research Ideas and Outcomes, 8, Art.-Nr.: e94113. doi:10.3897/rio.8.e94113
SSH with Federated Identities
Zachmann, G.; Gudu, D.; Hardt, M.
2022, Oktober 12. 11th IberGrid "Better Software for Better Science" (2022), Faro, Portugal, 10.–14. Oktober 2022
Ozone assessment service (O3as) in action
Kerzenmacher, T.; Kozlov, V.; Braesicke, P.; Cayoglu, U.; Esteban Sanchis, B.; Hardt, M.
2022, Oktober 11. 11th IberGrid "Better Software for Better Science" (2022), Faro, Portugal, 10.–14. Oktober 2022
Using Schema-based Metadata for Image Labels accessed with FAIR Digital Objects
Blumenröhr, N.; Aversa, R.
2022, Oktober 5. 1st Helmholtz Metadata Collaboration Konferenz 2023 (HMC 2022), Online, 5.–6. Oktober 2022. doi:10.5281/zenodo.7243871
FAIR DO Application Case for Composing Machine Learning Training Data
Blumenröhr, N.; Jejkal, T.; Pfeil, A.; Stotzka, R.
2022, Oktober 5. 1st Helmholtz Metadata Collaboration Konferenz 2023 (HMC 2022), Online, 5.–6. Oktober 2022. doi:10.5281/zenodo.7243865
Domain level ontology design: DISO and MDMC-NEP Provenance
Ihsan, A. Z.; Fathalla, S.; Aversa, R.; Jalali, M.; Panighel, M.; Osmenaj, E.; Hofmann, V.; Sandfeld, S.
2022, Oktober 5. Helmholtz Metadata Collaboration | Conference 2022 (2022), Online, 5.–6. Oktober 2022. doi:10.5281/zenodo.7432171
FAIR DO Cookbook – Recipes for FAIR Digital Objects
Pfeil, A.; Jejkal, T.
2022, Oktober 5. Helmholtz Metadata Collaboration | Conference 2022 (2022), Online, 5.–6. Oktober 2022
Research Object Crates – Bundling Research (Meta-)Data
Scholz, J.; Tzotchev, N.; Pfeil, A.
2022, Oktober 5. Helmholtz Metadata Collaboration | Conference 2022 (2022), Online, 5.–6. Oktober 2022
MetaStore - Managing Metadata for Digital Objects
Hartmann, V.; Jejkal, T.; Chelbi, S.
2022, Oktober 5. Helmholtz Metadata Collaboration | Conference 2022 (2022), Online, 5.–6. Oktober 2022
Metadata Hub - One for All
Hartmann, V.; Heinrichs, B.
2022, Oktober 5. Helmholtz Metadata Collaboration | Conference 2022 (2022), Online, 5.–6. Oktober 2022
Annotating Humanities Research Data - Episteme, Metaphors and the Torah
Ernst, F.; Frank, L.; Götzelmann, G.; Jha, V.; Tögel, P.; Tonne, D.
2022, Oktober 5. Helmholtz Metadata Collaboration | Conference 2022 (2022), Online, 5.–6. Oktober 2022
NFDI MatWerk / Materials Data Infrastructure
Stotzka, R.; Aversa, R.; Bitzek, E.; Golowin, N.; Grünwald, K.; Hunke, S.; Joseph, R.; Moghaddam, A.; Ost, P.; Politze, M.; Shakeel, Y.; Soysal, M.; Vitali, E.
2022, Oktober 5. Helmholtz Metadata Collaboration | Conference 2022 (2022), Online, 5.–6. Oktober 2022
FAIR Data Commons / Essential Services and Tools for Metadata Management Supporting Science
Stotzka, R.; Abdildina, G.; Aversa, R.; Blumenröhr, N.; Chelbi, S.; Duda, L.; Ernst, F.; Frank, L.; Götzelmann, G.; Hartmann, V.; Inckmann, M.; Jejkal, T.; Jha, V.; Joseph, R.; Ost, P.; u. a.
2022, Oktober 5. Helmholtz Metadata Collaboration | Conference 2022 (2022), Online, 5.–6. Oktober 2022
A basic Helmholtz Kernel Information Profile for machine-actionable FAIR Digital Objects
Jejkal, T.; Pfeil, A.; Schweikert, J.; Pirogov, A.; Barranco, P. V.; Krebs, F.; Koch, C.; Günther, G.; Curdt, C.; Weinelt, M.
2022, Oktober 5. Helmholtz Metadata Collaboration | Conference 2022 (2022), Online, 5.–6. Oktober 2022
FAIR-DOscope - Explore the facets of FAIR Digital Objects
Jejkal, T.
2022, Oktober 5. Helmholtz Metadata Collaboration | Conference 2022 (2022), Online, 5.–6. Oktober 2022
Data Collections Explorer
Ost, P.
2022, Oktober 5. Helmholtz Metadata Collaboration | Conference 2022 (2022), Online, 5.–6. Oktober 2022
NFDI-MatWerk - Reference Datasets
Shakeel, Y.; Soysal, M.; Vitali, E.; Ost, P.
2022, Oktober 5. Helmholtz Metadata Collaboration | Conference 2022 (2022), Online, 5.–6. Oktober 2022
Flame-vortex interaction during turbulent side-wall quenching and its implications for flamelet manifolds
Steinhausen, M.; Zirwes, T.; Ferraro, F.; Scholtissek, A.; Bockhorn, H.; Hasse, C.
2022. Proceedings of the Combustion Institute, 39 (2), 2149–2158. doi:10.1016/j.proci.2022.09.026
EOSC-synergy/eosc-perf-backend: eosc-perf backend 1.2.0
Esteban Sanchis, B.; Laures, C.; Kozlov, V.; Hardt, M.
2022, Oktober. doi:10.5281/zenodo.7376156
EOSC-synergy/o3api: o3api 0.8.5
Kozlov, V.; Esteban Sanchis, B.; Kerzenmacher, T.
2022, Oktober. doi:10.5281/zenodo.7358926
FAIR DO Lab – A FAIR Digital Object Lab for your research
Pfeil, A.; Chelbi, S.; Jejkal, T.
2022, Oktober. Helmholtz Metadata Collaboration | Conference 2022 (2022), Online, 5.–6. Oktober 2022
EOSC-Performance: compare EOSC sites for your needs
Kozlov, V.; Esteban Sanchis, B.; Laures, C.; Hardt, M.
2022, September 22. EGI Conference (2022), Prag, Tschechien, 19.–23. September 2022
Motley-cue: SSH access with OIDC tokens
Gudu, D.; Zachmann, G.; Hardt, M.
2022, September 21. EGI Conference (2021), Online, 18.–22. Oktober 2021
OIDC support for Windows using PuTTY
Zachmann, G.; Gudu, D.; Hardt, M.
2022, September 20. EGI Conference (2021), Online, 18.–22. Oktober 2021
Hyde: The First Open-Source, Python-Based, Gpu-Accelerated Hyperspectral Denoising Package
Coquelin, D.; Rasti, B.; Gotz, M.; Ghamisi, P.; Gloaguen, R.; Streit, A.
2022. 2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), Rome, Italy, 13-16 September 2022, 1–5, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/WHISPERS56178.2022.9955088
Learning tree structures from leaves for particle decay reconstruction
Kahn, J.; Tsaklidis, I.; Taubert, O.; Reuter, L.; Dujany, G.; Boeckh, T.; Thaller, A.; Goldenzweig, P.; Bernlochner, F.; Streit, A.; Götz, M.
2022. Machine Learning: Science and Technology, 3 (3), Art.Nr. 035012. doi:10.1088/2632-2153/ac8de0
NFFA-Europe Pilot - D16.3 - Identification of good practices for data provenance
Yakutovich, A.; Pizzi, G.; Marzari, N.; Aversa, R.; Brandino, G. P.; Panighel, M.
2022. Zenodo. doi:10.5281/zenodo.7057955
NFFA-Europe Pilot - D16.2 - Report on the first data services
Franzon, M.; Osmenaj, E.; Panighel, M.; Rodani, T.; Brandino, G. P.; Aversa, R.
2022. Zenodo. doi:10.5281/zenodo.7057941
A Java Library for RO-Crate
Tzotchev, N.; Pfeil, A.
2022, August 25. 56th Research Object Crate Community Calls (2022), Online, 25. August 2022
An interpretation of the FAIR principles to guide implementations in the HMC digital ecosystem
Helmholtz Metadata Collaboration (HMC); Buttigieg, P. L.; Curdt, C.; Ishan, A. Z.; Jejkal, T.; Kubin, M.; Mannix, O.; Mohr, D. P.; Pirogov, A.; Port, B.; Stucky, K.-U.
2022. (S. Lorenz, Hrsg.), GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel. doi:10.3289/HMC_publ_01
Measurements and Modelling of Total Ozone Columns near St. Petersburg, Russia
Nerobelov, G.; Timofeyev, Y.; Virolainen, Y.; Polyakov, A.; Solomatnikova, A.; Poberovskii, A.; Kirner, O.; Al-Subari, O.; Smyshlyaev, S.; Rozanov, E.
2022. Remote Sensing, 14 (16), 3944. doi:10.3390/rs14163944
Lowest Common Ancestor Generations (LCAG) Phasespace Particle Decay Reconstruction Dataset
Kahn, J.; Taubert, O.; Tsaklidis, I.; Reuter, L.; Dujany, G.; Boeckh, T.; Thaller, A.; Goldenzweig, P.; Bernlochner, F.; Streit, A.; Götz, M.
2022, August 11. doi:10.5281/zenodo.6983258
EOSC-synergy/o3skim: o3skim 0.9.1
Esteban, B. Sanchis; Kerzenmacher, T.; Kozlov, V.
2022, August 5. doi:10.5281/zenodo.7467555
EOSC-synergy/eosc-perf-frontend: v1.1.0
Laures, C.; Esteban, B. Sanchis; Kozlov, V.; Hardt, M.
2022, Juli 12. doi:10.5281/zenodo.7409598
EOSC-synergy/o3skim: o3skim 0.8.5
Esteban, B. Sanchis; Kerzenmacher, T.; Kozlov, V.
2022, Juli 4. doi:10.5281/zenodo.7465188
EOSC-synergy/eosc-perf-backend: eosc-perf-backend 1.1.0
Esteban Sanchis, B.; Laures, C.; Kozlov, V.; Hardt, M.
2022, Juli. doi:10.5281/zenodo.7375700
CCMI-1 ozone data for O3as service (v1: zonal means and monthly averages)
Esteban Sanchis, B.; Kerzenmacher, T.; Kozlov, V.
2022, Juli. doi:10.35097/675
Correlation of heat loss with quenching distance during transient flame-wall Interaction
Zhang, F.
2022, Juli. 39th International Symposium on Combustion (2022), Vancouver, Kanada, 24.–29. Juli 2022
Effects of low-temperature chemical reactions on ignition kernel development and flame propagation in a DME-air mixing layer
Wang, Y.; Han, W.; Zirwes, T.; Zhang, F.; Bockhorn, H.; Chen, Z.
2022. Proceedings of the Combustion Institute, 39 (2), 1515–1524. doi:10.1016/j.proci.2022.07.024
Multiscale Molecular Dynamics Simulations of Histidine Kinase Activity. Dissertation
Idiris, F.
2022, Juni 29. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000147727
indigo-dc/oidc-agent: oidc-agent 4.3.0
Zachmann, G.; Dehtyarow, D.
2022, Juni 23. doi:10.5281/zenodo.6697387
A common PID Kernel Information Profile for the German Helmholtz Association of Research Centres
Jejkal, T.; Pfeil, A.; Schweikert, J.; Pirogov, A.; Barranco, P. V.; Krebs, F.; Koch, C.; Günther, G.; Curdt, C.; Weinelt, M.
2022, Juni 21. 19th International Data Week : A Festival of Data / Plenary meeting (RDA 2022), Seoul, Südkorea, 20.–23. Juni 2022
FAIR Digital Object Concept for Composing Machine Learning Training Data
Blumenröhr, N.; Jejkal, T.; Stotzka, R.
2022, Juni 20. 19th International Data Week : A Festival of Data / Plenary meeting (RDA 2022), Seoul, Südkorea, 20.–23. Juni 2022
Structures of Small Platinum Cluster Anions Pt: Experiment and Theory
Bumüller, D.; Yohannes, A. G.; Kohaut, S.; Kondov, I.; Kappes, M. M.; Fink, K.; Schooss, D.
2022. The Journal of Physical Chemistry A, 126 (22), 3502–3510. doi:10.1021/acs.jpca.2c02142
Enhanced sampling methods applied to chemical reactions in proteins. Dissertation
Maag, D. M.
2022, Juni 7. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000146741
FAIR Digital Object for Accessing Label Information of ML Training Data Stored in a Metadata Schema
Blumenröhr, N.; Jejkal, T.; Pfeil, A.; Stotzka, R.
2022, Juni 2. Helmholtz Artificial Intelligence Conference (Helmholtz AI 2022), Dresden, Deutschland, 2.–3. Juni 2022
Application and Optimization of Contact-Guided Replica Exchange Molecular Dynamics. Dissertation
Voronin, A.
2022, Mai 19. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000146554
Training Quantum Kernels for Clustering Algorithms. Masterarbeit
Metz, N.
2022, Mai 2. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000148603
Altmetrics and Citation Counts: An Empirical Analysis of the Computer Science Domain
Shakeel, Y.; Alchokr, R.; Krüger, J.; Saake, G.; Leich, T.
2022
Ginkgo—A math library designed for platform portability
Cojean, T.; Tsai, Y.-H. M.; Anzt, H.
2022. Parallel Computing, 111, Art.-Nr.: 102902. doi:10.1016/j.parco.2022.102902
V-FOR-WaTer - a virtual research environment for environmental research
Strobl, M.; Azmi, E.; Hassler, S. K.; Mälicke, M.; Meyer, J.; Streit, A.; Zehe, E.
2022. E-Science-Tage 2021: Share Your Research Data. Hrsg.: V. Heuveline, 394–398, Heidelberger E-Books (heiBOOKS). doi:10.11588/heibooks.979.c13755
Modeling of radiation heat transfer in the dense-bed flow of solid pyrolysis in indirectly heated rotary kilns
Tavakkol, S.
2022. Proceedings of the 13th European Conference on Industrial Furnaces and Boilsers (INFUB)
Selection of representative structures from large biomolecular ensembles
Voronin, A.; Schug, A.
2022. The Journal of Chemical Physics, 156 (14), Art.-Nr.: 144102. doi:10.1063/5.0082444
Mathematische Modellierungswochen – auch online
Schönbrodt, S.; Hofmann, S.
2022. Mitteilungen der Deutschen Mathematiker-Vereinigung, 30 (1), 46–50. doi:10.1515/dmvm-2022-0016
ssciwr/hammingdist: 0.15.0
Keegan, L.; Kempf, D.; Obermaier, H.; Schreiner, H.
2022, April 11. doi:10.5281/zenodo.6448163
Guidelines for expressing group membership and role information (AARC-G069)
Ardizzone, V.; Bučík, D. F.; Hardt, M.; Helmert, S.; Jensen, J.; Kanakarakis, I.; Kanellopoulos, C.; Liampotis, N.; Linden, M.; Sallé, M.
2022. Zenodo. doi:10.5281/zenodo.6533400
A specification for providing information about an end service to a Discovery Service (AARC-G063)
Liampotis, N.; Jensen, J.; Sallé, M.; Kanellopoulos, C.; Kanakarakis, I.; Linden, M.; Ardizzone, V.
2022. (M. Hardt, Hrsg.). doi:10.5281/zenodo.6938616
Numerical Study on Flame Stabilization and NO Formation in a Novel Burner System for Sulfur Combustion
Zhang, F.; Kurjata, M.; Sebbar, N.; Zirwes, T.; Fedoryk, M.; Harth, S.; Wang, R.; Habisreuther, P.; Trimis, D.; Bockhorn, H.
2022. Energy and Fuels, 36 (7), 4094–4106. doi:10.1021/acs.energyfuels.1c04007
Evaluation of Application Possibilities for Packaging Technologies in Canonical Workflows
Jejkal, T.; Chelbi, S.; Pfeil, A.; Wittenburg, P.
2022. Data Intelligence, 4 (2), 372–385. doi:10.1162/dint_a_00137
Flame structure analysis and composition space modeling of thermodiffusively unstable premixed hydrogen flames. Part II. Elevated pressure
Wen, X.; Zirwes, T.; Scholtissek, A.; Böttler, H.; Zhang, F.; Bockhorn, H.; Hasse, C.
2022. Combustion and Flame, 238, Art.Nr. 111808. doi:10.1016/j.combustflame.2021.111808
Flame structure analysis and composition space modeling of thermodiffusively unstable premixed hydrogen flames. Part I. Atmospheric pressure
Wen, X.; Zirwes, T.; Scholtissek, A.; Böttler, H.; Zhang, F.; Bockhorn, H.; Hasse, C.
2022. Combustion and Flame, 238, Art.Nr. 111815. doi:10.1016/j.combustflame.2021.111815
NFFA-Europe Pilot - D9.1 - Deployment of the VA service prototypes
Aversa, R.; Brandino, G. P.; Chelbi, S.; Hartmann, V.; Jejkal, T.
2022. Zenodo. doi:10.5281/zenodo.7057084
SmartAQnet 2020: A New Open Urban Air Quality Dataset from Heterogeneous PM Sensors
Li, C.; Budde, M.; Tremper, P.; Schäfer, K.; Riesterer, J.; Redelstein, J.; Petersen, E.; Khedr, M.; Liu, X.; Köpke, M.; Hussain, S.; Ernst, F.; Kowalski, M.; Pesch, M.; Werhahn, J.; u. a.
2022. ProScience, 8. doi:10.14644/dust2021.001
Die Aktualität des Unzeitgemäßen
Krewet, M.; Ernst, F.; Götzelmann, G.; Hegel, P.; Schenk, T.; Söring, S.; Tonne, D.
2022. DHd2022: Kulturen des digitalen Gedächtnisses. Konferenzabstracts, Hrsg: M. Geierhos, 75–78. doi:10.5281/zenodo.6328015
EOSC-synergy/o3api: o3api 0.8.0
Kozlov, V.; Esteban Sanchis, B.; Kerzenmacher, T.
2022, März. doi:10.5281/zenodo.7358519
A quality-based approach for research software and services
Orviz, P.; Bernardo, S.; David, M.; Naranjo, D.; Moltó, G.; Caballer, M.; Campos, I.; Gomes, J.; Kozlov, V.; Esteban Sanchis, B.; Hardt, M.; Braesicke, P.; Kerzenmacher, T.; Blanquer, I.
2022, Februar 23. Software Engineering : Fachtagung des GI-Fachbereichs Softwaretechnik (2022), Online, 21.–25. Februar 2022
RNA structure prediction with direct coupling analysis
Faber, C.; Bayou Zerihun, M.; Schug, A. H.
2022. Biophysical Journal, 121 (3), 204a. doi:10.1016/j.bpj.2021.11.1695
Machine learning based optimization to simulate tumor development
Herold, J. M.; Behle, E.; Schug, A. H.
2022. Biophysical Journal, 121 (3), 123a. doi:10.1016/j.bpj.2021.11.2100
Cellular ATP levels are paramount for governing stability and LLPS of CAG repeat-containing RNAs inside cell
Hautke, A.; Voronin, A.; Idiris, F.; Schug, A. H.; Ebbinghaus, S.
2022. Biophysical Journal, 121 (3), 311a. doi:10.1016/j.bpj.2021.11.1202
Large-scale simulation of tumor spheroid invasion dynamics
Behle, E.; Herold, J.; Rosenbauer, J.; Schug, A. H.
2022. Biophysical Journal, 121 (3), 165a. doi:10.1016/j.bpj.2021.11.1907
Resolvent-based modelling of coherent structures in a turbulent jet flame using a passive flame approach
Casel, M.; Oberleithner, K.; Zhang, F.; Zirwes, T.; Bockhorn, H.; Trimis, D.; Kaiser, T. L.
2022. Combustion and Flame, 236, Art.-Nr.: 111695. doi:10.1016/j.combustflame.2021.111695
Search for flavor-changing neutral current interactions of the top quark and the Higgs boson decaying to a bottom quark-antiquark pair at = 13 TeV
The CMS collaboration; Tumasyan, A.; Adam, W.; Andrejkovic, J. W.; Bergauer, T.; Chatterjee, S.; Damanakis, K.; Dragicevic, M.; Escalante Del Valle, A.; Frühwirth, R.; Jeitler, M.; Krammer, N.; Lechner, L.; Liko, D.; Mikulec, I.; u. a.
2022. Journal of High Energy Physics, 2022 (2), 169. doi:10.1007/JHEP02(2022)169
Accelerating neural network training with distributed asynchronous and selective optimization (DASO)
Coquelin, D.; Debus, C.; Götz, M.; Lehr, F. von der; Kahn, J.; Siggel, M.; Streit, A.
2022. Journal of Big Data, 9 (1), 14. doi:10.1186/s40537-021-00556-1
FAIR Digital Object Demonstrators 2021
Wittenburg, P.; Anders, I.; Blanchi, C.; Buurman, M.; Goble, C.; Grieb, J.; Hardisty, A.; Islam, S.; Jejkal, T.; Kálmán, T.; Kirkpatrick, C.; Lannom, L.; Lauer, T.; Manepalli, G.; Peters-von Gehlen, K.; u. a.
2022. Zenodo. doi:10.5281/zenodo.5872645
Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations
Schotthöfer, S.; Zangrando, E.; Kusch, J.; Ceruti, G.; Tudisco, F.
2022. 36th Conference on Neural Information Processing Systems, NeurIPS 2022, Neural information processing systems foundation
MuRiT: Efficient Computation of Pathwise Persistence Barcodes in Multi-Filtered Flag Complexes via Vietoris-Rips Transformations
Neumann, M.; Bleher, M.; Hahn, L.; Braun, S.; Obermaier, H.; Soysal, M.; Caspart, R.; Ott, A.
2022. arxiv. doi:10.48550/arXiv.2207.03394
Compressing audio signals with interactive and cloud-based learning material - a workshop for high-school students
Wohak, K.; Frank, M.
2022. Teaching Mathematics and its Applications: An International Journal of the IMA, 41 (3), 240–255. doi:10.1093/teamat/hrab009
Preconditioners for Batched Iterative Linear Solvers on GPUs
Aggarwal, I.; Nayak, P.; Kashi, A.; Anzt, H.
2022. Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation – 22nd Smoky Mountains Computational Sciences and Engineering Conference, SMC 2022, Virtual Event, August 23–25, 2022, Revised Selected Papers. Ed.: K. Doug, 38–53, Springer Nature Switzerland. doi:10.1007/978-3-031-23606-8_3
MatterMiners/cobald: v0.13.0
Fischer, M.; Kuehn, E.; Giffels, M.; Schnepf, M.; Kroboth, S.; Thorsten, M.; Freyermuth, O.
2022. doi:10.5281/zenodo.7032186
Practical field-scale simulation approaches for quantification of fault-related leakage under uncertainty
Gasda, S.; Keilegavlen, E.; Sandve, T. H.; Berge, R.; Pettersson, P.; Krumscheid, S.
2022. Proceedings of the 16th Greenhouse Gas Control Technologies Conference. 16th International Conference on Greenhouse Gas Control Technologies (GHGT-16) 23-27 Oct 2022. doi:10.2139/ssrn.4277020
Prediction of Optimal Solvers for Sparse Linear Systems Using Deep Learning
Funk, Y.; Götz, M.; Anzt, H.
2022. Proceedings of the 2022 SIAM Conference on Parallel Processing for Scientific Computing (PP). Ed.: X. Li, 14–24, Society for Industrial and Applied Mathematics (SIAM). doi:10.1137/1.9781611977141.2
Teaching data science in school: Digital learning material on predictive text systems
Hofmann, S.; Frank, M.
2022. Twelfth Congress of the European Society for Research in Mathematics Education (CERME12)
Erneuerbare Energien – Modellierung und Optimierung eines Solarkraftwerks
Schönbrodt, S.
2022. Neue Materialien für einen realitätsbezogenen Mathematikunterricht. Hrsg.: M. Frank, 15–69, Springer Spektrum. doi:10.1007/978-3-662-63647-3_3
Aufbau und Einsatzmöglichkeiten des Lehr- und Lernmaterials
Gerhard, M.; Hattebuhr, M.; Schönbrodt, S.; Wohak, K.
2022. Neue Materialien für einen realitätsbezogenen Mathematikunterricht. Hrsg.: M. Frank, 7–14, Springer Spektrum. doi:10.1007/978-3-662-63647-3_2
Einführung
Frank, M.; Roeckerath, C.; Schönbrodt, S.
2022. Neue Materialien für einen realitätsbezogenen Mathematikunterricht. Hrsg.: M. Frank, 1–6, Springer Spektrum. doi:10.1007/978-3-662-63647-3_1
Data Science and Machine Learning in mathematics education: Highschool students working on the Netflix Prize
Schönbrodt, S.; Frank, M.
2022. Twelfth Congress of the European Society for Research in Mathematics Education (CERME12), Feb 2022, Bozen-Bolzano, Italy
Combined effects of heat loss and curvature on turbulent flame-wall interaction in a premixed dimethyl ether/air flame
Kaddar, D.; Steinhausen, M.; Zirwes, T.; Bockhorn, H.; Hasse, C.; Ferraro, F.
2022. Proceedings of the Combustion Institute, 39 (2), 2199–2208. doi:10.1016/j.proci.2022.08.060
Memory effects of local flame dynamics in turbulent premixed flames
Zirwes, T.; Zhang, F.; Bockhorn, H.
2022. Proceedings of the Combustion Institute, 39 (2), 2349–2358. doi:10.1016/j.proci.2022.07.187
Are Altmetrics Useful for Assessing Scientific Impact? A Survey
Shakeel, Y.; Alchokr, R.; Krüger, J.; Leich, T.; Saake, G.
2022. MEDES 2022 : 14th International Conference on Management of Digital EcoSystems, Venice, Italy, 20-21 October 2022, 144–147, ACM Digital Library
Correlation of heat loss with quenching distance during transient flame-Wall interaction
Zhang, F.; Zirwes, T.; Häber, T.; Bockhorn, H.; Trimis, D.; Suntz, R.; Stapf, D.
2022. Proceedings of the Combustion Institute, 39 (2), 2037–2045. doi:10.1016/j.proci.2022.10.010
Non-destructive Material Characterization of Waste Packages with QUANTOM - 22208
Herbell, H.; Coquard, L.; Hummel, J.; Nordhardt, G.; Veltkamp, T.; Havenith, A.; Krycki, K.; Fu, B.; Helmes, C.; Doemeland, M.; Heidner, M.; Simons, F.; Köble, T.; Schumann, O.; Jesser, A.
2022
A survey of the European Open Science Cloud services for expanding the capacity and capabilities of multidisciplinary scientific applications
Calatrava, A.; Asorey, H.; Astalos, J.; Azevedo, A.; Benincasa, F.; Blanquer, I.; Bobak, M.; Brasileiro, F.; Codó, L.; Cano, L. del; Esteban, B.; Ferret, M.; Handl, J.; Kerzenmacher, T.; Kozlov, V.; u. a.
2022. arxiv. doi:10.48550/ARXIV.2211.07738
A container-based workflow for distributed training of deep learning algorithms in HPC clusters
González-Abad, J.; López García, Á.; Kozlov, V. Y.
2022. Cluster Computing, 26 (5), 2815–2834. doi:10.1007/s10586-022-03798-7
Providing performance portable numerics for Intel GPUs
Tsai, Y.-H. M.; Cojean, T.; Anzt, H.
2022. Concurrency and Computation: Practice and Experience, 35 (20), Art.-Nr.: e7400. doi:10.1002/cpe.7400
The impact of tumor metabolic activity assessed by F-FET amino acid PET imaging in particle radiotherapy of high-grade glioma patients
Waltenberger, M.; Furkel, J.; Röhrich, M.; Salome, P.; Debus, C.; Tawk, B.; Gahlawat, A. W.; Kudak, A.; Dostal, M.; Wirkner, U.; Schwager, C.; Herold-Mende, C.; Combs, S. E.; König, L.; Debus, J.; u. a.
2022. Frontiers in Oncology, 12, Art.Nr. 901390. doi:10.3389/fonc.2022.901390
A Novel Semi-supervised Clustering Algorithm: CoExDBSCAN
Ertl, B.; Schneider, M.; Meyer, J.; Streit, A.
2022. Knowledge Discovery, Knowledge Engineering and Knowledge Management – 12th International Joint Conference, IC3K 2020, Virtual Event, November 2-4, 2020, Revised Selected Papers. Ed.: A. Fred, 1–21, Springer International Publishing. doi:10.1007/978-3-031-14602-2_1
A Closer Look into Collaborative Publishing at Software-Engineering Conferences
Alchokr, R.; Krüger, J.; Shakeel, Y.; Saake, G.
2022. Linking Theory and Practice of Digital Libraries – 26th International Conference on Theory and Practice of Digital Libraries, TPDL 2022, Padua, Italy, September 20–23, 2022, Proceedings. Ed.: G. Silvello, 395–402, Springer International Publishing. doi:10.1007/978-3-031-16802-4_38
Developing the EOSC-Pillar RDM Training and Support Catalogue
Garcia, P. O.; Berberi, L.; Candela, L.; Van Nieuwerburgh, I.; Lazzeri, E.; Czuray, M.
2022. Linking Theory and Practice of Digital Libraries – 26th International Conference on Theory and Practice of Digital Libraries, TPDL 2022, Padua, Italy, September 20–23, 2022, Proceedings. Ed.: G. Silvello, 274–281, Springer International Publishing. doi:10.1007/978-3-031-16802-4_22
Weighted Altmetric Scores to Facilitate Literature Analyses
Shakeel, Y.; Bharti, A.; Leich, T.; Saake, G.
2022. Linking Theory :Practice of Digital Libraries – 26th International Conference on Theory and Practice of Digital Libraries, TPDL 2022, Padua, Italy, September 20–23, 2022, Proceedings. Ed.: G. Silvello, 459–465, Springer. doi:10.1007/978-3-031-16802-4_46
Realizing FAIR Digital Objects for the German Helmholtz Association of Research Centres
Jejkal, T.; Pfeil, A.; Schweikert, J.; Pirogov, A.; Barranco, P.; Krebs, F.; Koch, C.; Guenther, G.; Curdt, C.; Weinelt, M.
2022. Research Ideas and Outcomes, 8, Art.Nr. e94758. doi:10.3897/rio.8.e94758
Adaptive stratified sampling for non-smooth problems
Pettersson, P.; Krumscheid, S.
2022. International Journal for Uncertainty Quantification, 12 (6), 71–99. doi:10.1615/Int.J.UncertaintyQuantification.2022041034
A Process Warehouse for Process Variants Analysis
Berberi, L.
2022. Big Data Analytics and Knowledge Discovery – 24th International Conference, DaWaK 2022, Vienna, Austria, August 22–24, 2022, Proceedings. Ed.: R. Wrembel, 87–93, Springer International Publishing. doi:10.1007/978-3-031-12670-3_8
Compressed basis GMRES on high-performance graphics processing units
Aliaga, J. I.; Anzt, H.; Grützmacher, T.; Quintana-Ortí, E. S.; Tomás, A. E.
2022. The International Journal of High Performance Computing Applications, 37 (2), 82–100. doi:10.1177/10943420221115140
Synergetic use of IASI profile and TROPOMI total-column level 2 methane retrieval products
Schneider, M.; Ertl, B.; Tu, Q.; Diekmann, C. J.; Khosrawi, F.; Röhling, A. N.; Hase, F.; Dubravica, D.; García, O. E.; Sepúlveda, E.; Borsdorff, T.; Landgraf, J.; Lorente, A.; Butz, A.; Chen, H.; u. a.
2022. Atmospheric Measurement Techniques, 15 (14), 4339–4371. doi:10.5194/amt-15-4339-2022
Towards a Similarity Algorithm for Controlled Vocabularies Within the Digital Humanities
Ernst, F.
2022. The Semantic Web: ESWC 2022 Satellite Events ; Hersonissos, Crete, Greece, May 29 – June 2, 2022, Proceedings. Ed.: P. Groth, 179–188, Springer International Publishing. doi:10.1007/978-3-031-11609-4_33
Quantifying CH emissions in hard coal mines from TROPOMI and IASI observations using the wind-assigned anomaly method
Tu, Q.; Schneider, M.; Hase, F.; Khosrawi, F.; Ertl, B.; Necki, J.; Dubravica, D.; Diekmann, C. J.; Blumenstock, T.; Fang, D.
2022. Atmospheric Chemistry and Physics, 22 (15), 9747–9765. doi:10.5194/acp-22-9747-2022
Dynamics of Premixed Hydrogen/Air Flames in Unsteady Flow
Zhang, F.; Zirwes, T.; Wang, Y.; Chen, Z.; Bockhorn, H.; Trimis, D.; Stapf, D.
2022. Physics of Fluids, 34 (8), Art.-Nr.: 085121. doi:10.1063/5.0098883
Research data available
Berberi, L.
2022
Porting Sparse Linear Algebra to Intel GPUs
Tsai, Y. M.; Cojean, T.; Anzt, H.
2022. Euro-Par 2021: Parallel Processing Workshops – Euro-Par 2021 International Workshops, Lisbon, Portugal, August 30-31, 2021, Revised Selected Papers. Ed.: R. Chaves, 57–68, Springer International Publishing. doi:10.1007/978-3-031-06156-1_5
Towards a Network of Sixteenth Century Book Illustrations
Götzelmann, G.
2022. T. Andrews, F. Diehr, T. Efer, A. Kuczera & J. van Zundert (Hrsg.), Graph Technologies in the Humanities : Proceedings 2020. Ed.: T. Andrews, 38–59, CEUR-WS.org
Automating and Scaling Task-Level Parallelism of Tightly Coupled Models via Code Generation
Roozmeh, M.; Kondov, I.
2022. Computational Science – ICCS 2022. Pt. 4. Ed.: D. Groen, 69–82, Springer Nature Switzerland. doi:10.1007/978-3-031-08760-8_6
Investigation of spaceborne trace gas products over St Petersburg and Yekaterinburg, Russia, by using COllaborative Column Carbon Observing Network (COCCON) observations
Alberti, C.; Tu, Q.; Hase, F.; Makarova, M. V.; Gribanov, K.; Foka, S. C.; Zakharov, V.; Blumenstock, T.; Buchwitz, M.; Diekmann, C.; Ertl, B.; Frey, M. M.; Imhasin, H. K.; Ionov, D. V.; Khosrawi, F.; u. a.
2022. Atmospheric Measurement Techniques, 15 (7), 2199–2229. doi:10.5194/amt-15-2199-2022
From a Dynamic Image Annotation Process within the Humanities to a Canonical Workflow
Pfeil, A.; Jejkal, T.; Tonne, D.; Götzelmann, G.
2022. Data Intelligence, 4 (2), 386–397. doi:10.1162/dint_a_00138
Challenge of modelling GLORIA observations of upper troposphere-lowermost stratosphere trace gas and cloud distributions at high latitudes: A case study with state-of-The-Art models
Haenel, F.; Woiwode, W.; Buchmüller, J.; Friedl-Vallon, F.; Höpfner, M.; Johansson, S.; Khosrawi, F.; Kirner, O.; Kleinert, A.; Oelhaf, H.; Orphal, J.; Ruhnke, R.; Sinnhuber, B.-M.; Ungermann, J.; Weimer, M.; u. a.
2022. Atmospheric Chemistry and Physics, 22 (4), 2843–2870. doi:10.5194/acp-22-2843-2022
Design and description of the MUSICA IASI full retrieval product
Schneider, M.; Ertl, B.; Diekmann, C. J.; Khosrawi, F.; Weber, A.; Hase, F.; Höpfner, M.; García, O. E.; Sepúlveda, E.; Kinnison, D.
2022. Earth System Science Data, 14 (2), 709–742. doi:10.5194/essd-14-709-2022
Ginkgo: A Modern Linear Operator Algebra Framework for High Performance Computing
Anzt, H.; Cojean, T.; Flegar, G.; Göbel, F.; Grützmacher, T.; Nayak, P.; Ribizel, T.; Tsai, Y. M.; Quintana-Ortí, E. S.
2022. ACM Transactions on Mathematical Software, 48 (1), Art.-Nr.: 2. doi:10.1145/3480935
Digital Tools to Enable Collaborative Mathematical Modeling Online
Schönbrodt, S.; Wohak, K.; Frank, M.
2022. Modelling in Science Education and Learning, 15 (1), 151–174. doi:10.4995/msel.2022.16269
Surprisingly Low Reactivity of Layered Manganese Oxide toward Water Oxidation in Fe/Ni-Free Electrolyte under Alkaline Conditions
Salmanion, M.; Kondov, I.; Vandichel, M.; Aleshkevych, P.; Najafpour, M. M.
2022. Inorganic chemistry, 61 (4), 2292–2306. doi:10.1021/acs.inorgchem.1c03665
The impact of sulfur hexafluoride (SF₆) sinks on age of air climatologies and trends
Loeffel, S.; Eichinger, R.; Garny, H.; Reddmann, T.; Fritsch, F.; Versick, S.; Stiller, G.; Haenel, F.
2022. Atmospheric chemistry and physics, 22 (2), 1175–1193. doi:10.5194/acp-22-1175-2022
Turbulent flame-wall interaction of premixed flames using Quadrature-based Moment Methods (QbMM) and tabulated chemistry: An a priori analysis
Steinhausen, M.; Zirwes, T.; Ferraro, F.; Popp, S.; Zhang, F.; Bockhorn, H.; Hasse, C.
2022. International Journal of Heat and Fluid Flow, 93, Art.-Nr.: 108913. doi:10.1016/j.ijheatfluidflow.2021.108913
Uncertainty quantification of offshore wind farms using Monte Carlo and sparse grid
Richter, P.; Wolters, J.; Frank, M.
2022. Energy Sources, Part B: Economics, Planning and Policy, 17 (1), Art.Nr. 2000520. doi:10.1080/15567249.2021.2000520
Workflow Engineering in Materials Design within the BATTERY 2030+ Project
Schaarschmidt, J.; Yuan, J.; Strunk, T.; Kondov, I.; Huber, S. P.; Pizzi, G.; Kahle, L.; Bölle, F. T.; Castelli, I. E.; Vegge, T.; Hanke, F.; Hickel, T.; Neugebauer, J.; Rêgo, C. R. C.; Wenzel, W.
2022. Advanced Energy Materials, 12 (17), Art.-Nr.: 2102638. doi:10.1002/aenm.202102638
An evaluation of tropical waves and wave forcing of the QBO in the QBOi models
Holt, L. A.; Lott, F.; Garcia, R. R.; Kiladis, G. N.; Cheng, Y.-M.; Anstey, J. A.; Braesicke, P.; Bushell, A. C.; Butchart, N.; Cagnazzo, C.; Chen, C.-C.; Chun, H.-Y.; Kawatani, Y.; Kerzenmacher, T.; Kim, Y.-H.; u. a.
2022. Quarterly journal of the Royal Meteorological Society, 148 (744), 1541–1567. doi:10.1002/qj.3827
2021
Multidimensional Clustering for Spatio-Temporal Data and its Application in Climate Research. Dissertation
Ertl, B.
2021, Dezember 23. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000141504
Feed-Forward-Only Training of Neural Networks. Masterarbeit
Flügel, K.; Streit, A.
2021, Dezember 1. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000153057/v2
CoCoNet—boosting RNA contact prediction by convolutional neural networks
Zerihun, M. B.; Pucci, F.; Schug, A.
2021. Nucleic acids research, 49 (22), 12661–12672. doi:10.1093/nar/gkab1144
HEPiX Benchmarking Solution for WLCG Computing Resources
Giordano, D.; Alef, M.; Atzori, L.; Barbet, J.-M.; Datskova, O.; Girone, M.; Hollowell, C.; Javurkova, M.; Maganza, R.; Medeiros, M. F.; Michelotto, M.; Rinaldi, L.; Sciabà, A.; Sobie, R. J.; Southwick, D.; u. a.
2021. Computing and software for big science, 5 (1), 28. doi:10.1007/s41781-021-00074-y
Accelerated Computation of a High Dimensional Kolmogorov-Smirnov Distance
Haide, I.; Hainje, C.; Hagen, A.; Kahn, J.; Jackson, S.; Strube, J.
2021, Dezember 1. 20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2021), Daejeon, Südkorea, 29. November–3. Dezember 2021
OPTIMADE, an API for exchanging materials data
Andersen, C. W.; Armiento, R.; Blokhin, E.; Conduit, G. J.; Dwaraknath, S.; Evans, M. L.; Fekete, Á.; Gopakumar, A.; Gražulis, S.; Merkys, A.; Mohamed, F.; Oses, C.; Pizzi, G.; Rignanese, G.-M.; Scheidgen, M.; u. a.
2021. Scientific data, 8 (1), Art.-Nr.: 217. doi:10.1038/s41597-021-00974-z
D16.1 - Design of the service platform
Aversa, R.; Jejkal, T.; Panighel, M.; Modolo, I.; Osmenaj, E.; Brandino, G. P.
2021. Zenodo. doi:10.5281/zenodo.6984650
Quantum Computing Assisted Speech Processing. Masterarbeit
Strobl, M.
2021, November 12. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000141620
A Computational Workflow for Interdisciplinary Deep Learning Projects utilizing bwHPC Infrastructure
Schilling, M. P.; Neumann, O.; Scherr, T.; Cui, H.; Popova, A. A.; Levkin, P. A.; Götz, M.; Reischl, M.
2021, November 8. 7th bwHPC Symposium (2021), Online, 8. November 2021
Metadata Schemas for FAIR* Data in Materials Science: Scanning Electron Microscopy (SEM) Use Case : A detailed and practical schema developed in cooperation with materials scientists
Joseph, R.; Chauhan, A.; Eschke, C.; Ihsan A.; Jalali, M.; Jäntsch, U.; Jung, N.; Kumar, C. N. S.; Kübel, C.; Lucas, C.; Mail, M.; Mazilkin, A.; Neidiger, C.; Panighel, M.; Sandfeld, S.; u. a.
2021, November 4. Research Data Alliance Virtual Plenary 18 (2021), Online, 27. Oktober–11. November 2021
Memory Effects in Premixed Flames: Unraveling Transient Flame Dynamics with the Flame Particle Tracking Method. Dissertation
Zirwes, T. T.
2021, Oktober 29. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000139504
Federated access for SSH with OpenID Connect
Gudu, D.; Hardt, M.; Kaliszan, D.; Wolniewicz, P.
2021, Oktober 20. EGI Conference (2021), Online, 18.–22. Oktober 2021
EOSC-Performance: find most suitable EOSC site for your task
Esteban Sanchis, B.; Hardt, M.; Kozlov, V.; Laures, C.
2021, Oktober 19. EGI Conference (2021), Online, 18.–22. Oktober 2021
A Lagrangian perspective on stable water isotopes during the West African Monsoon
Diekmann, C. J.; Schneider, M.; Knippertz, P.; Vries, A. J.; Pfahl, S.; Aemisegger, F.; Dahinden, F.; Ertl, B.; Khosrawi, F.; Wernli, H.; Braesicke, P.
2021. Journal of geophysical research / D, 126 (19), e2021JD034895. doi:10.1029/2021JD034895
Collection of Job Scheduling Prediction Methods
Soysal, M.; Streit, A.
2021. Job Scheduling Strategies for Parallel Processing: 24th International Workshop, JSSPP 2021, Virtual Event, May 21, 2021, Revised Selected Papers. Ed.: D. Klusáček, 35–42, Springer Verlag. doi:10.1007/978-3-030-88224-2_2
Heat - A Distributed and Accelerated Tensor Framework for Data Analytics and Machine Learning
Comito, C.; Götz, M.; Debus, C.; Coquelin, D.; Tarnawa, M.; Krajsek, K.; Knechtges, P.; Siggel, M.; Hagemeier, B.; Basermann, A.; Streit, A.
2021, Oktober 5. 1st Artificial Intelligence Symposium on Theory, Application & Research (AI STAR 2021), Online, 5.–6. Oktober 2021
O3as: An Ozone Trend Analysis Service within EOSC-Synergy
Kerzenmacher, T.; Kozlov, V.; Esteban Sanchis, B.; Cayoglu, U.; Hardt, M.; Braesicke, P.
2021, Oktober 3. Quadrennial Ozone Symposium (QoS 2021), Online, 3.–9. Oktober 2021
Interactive Labeling for Human Pose Estimation in Surveillance Videos
Cormier, M.; Ropke, F.; Golda, T.; Beyerer, J.
2021. 2021 IEEE/CVF International Conference on Computer Vision Workshops : ICCVW 2021 : 11-17 October 2021, virtual event : proceedings. Ed.: Tamara Berg, 1649–1658, IEEEXplore. doi:10.1109/ICCVW54120.2021.00190
Analysis of Process Variants with a Process Warehouse Approach. Dissertation
Berberi, L.
2021, September 30
Simulations of Air-assisted Primary Atomization at Different Air-to-Liquid Injection Angles for Entrained Flow Gasification
Zhang, F.; Zirwes, T.; Wachter, S.; Jakobs, T.; Habisreuther, P.; Zarzalis, N.; Trimis, D.; Kolb, T.; Bockhorn, H.
2021. 30. Deutscher Flammentag, Deutsche Sektion des Combustion Institutes und DVV/VDI-Gesellschaft Energie und Umwelt. Ed.: F. Dinkelacker, 1116–1125
Performance prediction of scientific applications on heterogeneous HPC architectures. Masterarbeit
Höck, M.
2021, September 22. Karlsruher Institut für Technologie (KIT)
The MIPAS global climatology of BrONO2 2002–2012 in comparison to EMAC model data
Höpfner, M.; Kirner, O.; Wetzel, G.; Sinnhuber, B.-M.; Haenel, F.; Johansson, S.; Orphal, J.; Ruhnke, R.; Stiller, G.; Clarmann, T. von
2021, August 16. doi:10.5445/IR/1000136324
Deriving Protein Structures Efficiently by Integrating Experimental Data into Biomolecular Simulations. Dissertation
Weiel-Potyagaylo, M.
2021, August 11. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000136249
A structure-preserving surrogate model for the closure of the moment system of the Boltzmann equation using convex deep neural networks
Schotthöfer, S.; Xiao, T.; Frank, M.; Hauck, C.
2021. AIAA Aviation 2021 Forum: August 2-6, 2021 ; Virtual Event, American Institute of Aeronautics and Astronautics. doi:10.2514/6.2021-2895
EOSC-synergy/o3api: o3api 0.7.0
Kozlov, V.; Esteban Sanchis, B.; Kerzenmacher, T.
2021, August. doi:10.5281/zenodo.7358312
Correction to: Quasi-DNS Dataset of a Piloted Flame with Inhomogeneous Inlet Conditions
Zirwes, T.; Zhang, F.; Habisreuther, P.; Hansinger, M.; Bockhorn, H.; Pfitzner, M.; Trimis, D.
2021. Flow, turbulence and combustion, 107 (2), 517. doi:10.1007/s10494-021-00244-3
Heat Release Rate Markers for Highly Stretched Premixed CH/Air and CH/H/Air Flames
Chen, X.; Wang, Y.; Zirwes, T.; Zhang, F.; Bockhorn, H.; Chen, Z.
2021. Energy & fuels, 35 (16), 13349–13359. doi:10.1021/acs.energyfuels.1c02187
Dynamic particle swarm optimization of biomolecular simulation parameters with flexible objective functions
Weiel, M.; Götz, M.; Klein, A.; Coquelin, D.; Floca, R.; Schug, A.
2021. Nature machine intelligence, 3 (8), 727–734. doi:10.1038/s42256-021-00366-3
Transparent Integration of Opportunistic Resources into the WLCG Compute Infrastructure
Böhler, M.; Caspart, R.; Fischer, M.; Freyermuth, O.; Giffels, M.; Kroboth, S.; Kuehn, E.; Schnepf, M.; Cube, F. von; Wienemann, P.
2021. The European physical journal / Web of Conferences, 251, Art.-Nr.: 02039. doi:10.1051/epjconf/202125102039
Interoperabilität von Metadaten innerhalb der NFDI: Konsortienübergreifender Metadaten-Workshop am 2./3. Juli 2020
Iglezakis, D.; Fuhrmans, M.; Arndt, S.; Demandt, É.; Hachinger, S.; Hausen, D.; Lanza, G.; Lipp, J.; Stotzka, R.; Terzijska, D.
2021. Bausteine Forschungsdatenmanagement, (2), 124–135. doi:10.17192/bfdm.2021.2.8313
Consortium Proposal NFDI-MatWerk
Eberl, C.; Niebel, M.; Bitzek, E.; Dahmen, T.; Fritzen, F.; Gumbsch, P.; Hickel, T.; Klein, S.; Mücklich, F.; Müller, M. S.; Neugebauer, J.; Pauly, C.; Politze, M.; Sack, H.; Sandfeld, S.; u. a.
2021. Zenodo. doi:10.5281/zenodo.5082837
EOSC-synergy/o3api: o3api 0.6.0
Kozlov, V.; Esteban Sanchis, B.; Kerzenmacher, T.
2021, Juli. doi:10.5281/zenodo.7357937
Complexity Analysis of stochastic gradient methods for PDE-constrained optimal Control Problems with uncertain parameters
Martin, M.; Krumscheid, S.; Nobile, F.
2021. ESAIM: Mathematical Modelling and Numerical Analysis, 55 (4), 1599–1633. doi:10.1051/m2an/2021025
Evolutionary Optimization of Neural Architectures in Remote Sensing Classification Problems
Coquelin, D.; Sedona, R.; Riedel, M.; Götz, M.
2021. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 12-16 July 2021, 1587–1590, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IGARSS47720.2021.9554309
Ozone assessment as an EOSC-Synergy thematic service
Braesicke, P.; Cayoglu, U.; Esteban Sanchis, B.; Hardt, M.; Kerzenmacher, T.; Kozlov, V.
2021, Juni 30. ISC High Performance (2021), Online, 24. Juni–2. Juli 2021
Mountain-wave-induced polar stratospheric clouds and their representation in the global chemistry model ICON-ART
Weimer, M.; Buchmüller, J.; Hoffmann, L.; Kirner, O.; Luo, B.; Ruhnke, R.; Steiner, M.; Tritscher, I.; Braesicke, P.
2021. Atmospheric chemistry and physics, 21 (12), 9515–9543. doi:10.5194/acp-21-9515-2021
Cells In Sillico – Parallel Tissue Development Simulation
Berghoff, M.
2021, Juni 16. Society for Mathematical Biology - Annual Meeting (SMB 2021), Online, 13.–17. Juni 2021
Guidelines for expressing community user identifiers (AARC-G026)
Hardt, M.; Jensen, J.; Kanellopoulos, C.; Sallé, M.; Kanakarakis, I.; Linden, M.
2021. (N. Liampotis, Hrsg.). doi:10.5281/zenodo.5504407
Semi-Supervised Time Point Clustering for Multivariate Time Series
Ertl, B.; Meyer, J.; Schneider, M.; Streit, A.
2021. Proceedings of the 34th Canadian Conference on Artificial Intelligence. Ed.: L. Antonie, Article: 2021L05, Canadian Artificial Intelligence Association. doi:10.21428/594757db.9fa1eff5
Accelerated Computation of a High Dimensional Kolmogorov-Smirnov Distance
Hagen, A.; Jackson, S.; Kahn, J.; Strube, J.; Haide, I.; Pazdernik, K.; Hainje, C.
2021
A stochastic kinetic scheme for multi-scale plasma transport with uncertainty quantification
Xiao, T.; Frank, M.
2021. Journal of computational physics, 432, Art.-Nr. 110139. doi:10.1016/j.jcp.2021.110139
Evaluating asynchronous Schwarz solvers on GPUs
Nayak, P.; Cojean, T.; Anzt, H.
2021. The international journal of high performance computing applications, 35 (3), 226–236. doi:10.1177/1094342020946814
An online service for analysing ozone trends within EOSC-synergy
Kerzenmacher, T.; Kozlov, V.; Esteban Sanchis, B.; Cayoglu, U.; Hardt, M.; Braesicke, P.
2021, April 27. European Geosciences Union General Assembly (EGU 2021), Online, 19.–30. April 2021. doi:10.5194/egusphere-egu21-8418
Metadata Editor
Chelbi, S.; Jejkal, T.
2021, April 20. 17th RDA Plenary Meeting (2021), Online, 20.–23. April 2021
FAIR Digital Object Ecosystem Testbed
Pfeil, A.; Jejkal, T.; Chelbi, S.; Stotzka, R.
2021, April 20. 17th RDA Plenary Meeting (2021), Online, 20.–23. April 2021
RDA Collection Registry Adoption
Jejkal, T.; Chelbi, S.; Pfeil, A.
2021, April 20. 17th RDA Plenary Meeting (2021), Online, 20.–23. April 2021
Thermal Analysis of a Solar External Receiver Tube with a Novel Component of Guide Vanes
Tu, Z.; Piccioni Koch, D.; Sarunac, N.; Frank, M.; Mao, J.
2021. Energies, 14 (8), Article no: 2253. doi:10.3390/en14082253
The Trimeric Major Capsid Protein of Mavirus is stabilized by its Interlocked N-termini Enabling Core Flexibility for Capsid Assembly
Christiansen, A.; Weiel, M.; Winkler, A.; Schug, A.; Reinstein, J.
2021. Journal of Molecular Biology, 433 (7), Art.-Nr.: 166859. doi:10.1016/j.jmb.2021.166859
Adaptive Precision Block-Jacobi for High Performance Preconditioning in the Ginkgo Linear Algebra Software
Flegar, G.; Anzt, H.; Cojean, T.; Quintana-Ortí, E. S.
2021. ACM transactions on mathematical software, 47 (2), 1–28. doi:10.1145/3441850
An Eulerian-Lagrangian method for wet biomass carbonization in rotary kiln reactors
Tavakkol, S.; Zirwes, T.; Denev, J. A.; Jamshidi, F.; Weber, N.; Bockhorn, H.; Trimis, D.
2021. Renewable & sustainable energy reviews, 139, Art.-Nr.: 110582. doi:10.1016/j.rser.2020.110582
Exploring Scheduling for On-demand File Systems and Data Management within HPC Environments. Dissertation
Soysal, M.
2021, März 17. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000130537/v2
Potential of Mid-tropospheric Water Vapor Isotopes to Improve Large-Scale Circulation and Weather Predictability
Toride, K.; Yoshimura, K.; Tada, M.; Diekmann, C.; Ertl, B.; Khosrawi, F.; Schneider, M.
2021. Geophysical Research Letters, 48 (5), Art.Nr.e2020GL091698. doi:10.1029/2020GL091698
EOSC-synergy/o3skim: o3skim 0.4.0
Esteban, B. Sanchis; Kerzenmacher, T.; Kozlov, V.
2021, März 11. doi:10.5281/zenodo.7465151
EOSC-hub Configuration Management Plan
Bierenbaum, I.; Pina, J.; Weber, P.
2021. Zenodo. doi:10.5281/zenodo.4040865
A specification for IdP hinting (AARC-G061)
Kanellopoulos, C.; Liampotis, N.; Kanakarakis, I.; Linden, M.; Sallé, M.; Jensen, J.
2021. (Hardt, Marcus (ed.),, Hrsg.), Zenodo. doi:10.5281/zenodo.4596667
Kooperationsstudiengänge
Hoyer, P.; Bonenberger, T.; Bachteler, K.; Lateier, M.; Schulz, H.; Sexauer, A.; Spanke, E.; Tümmers, B.; Vogt, A.
2021. bwUni.digital. doi:10.18419/opus-11503
HyDe - Hyperspectral Denoising Algorithm Toolbox in Python
Coquelin, D.; Götz, M.
2021, Februar 23
Theory, models, and numerical methods for classical and non-classical transport. Dissertation
Camminady, T.
2021, Februar 1. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000128846
Cardiorespiratory, Metabolic and Perceived Responses to Electrical Stimulation of Upper‐Body Muscles While Performing Arm Cycling
Zinner, C.; Matzka, M.; Krumscheid, S.; Holmberg, H.-C.; Sperlich, B.
2021. Journal of Human Kinetics, 77 (1), 117–123. doi:10.2478/hukin-2021-0016
EOSC-synergy/o3skim: o3skim 0.2.0
Esteban Sanchis, B.; Kerzenmacher, T.; Kozlov, V.
2021, Januar 26. doi:10.5281/zenodo.7465119
EOSC Authentication and Authorization Infrastructure (AAI) : Report from the EOSC Executive Board Working Group (WG) Architecture AAI Task Force (TF)
Wierenga, K.; Johansson, L.; Kanellopoulos, C.; Groep, D.; Vaghetti, D.; Liampotis, N.; Sanden, M. van de; Reetz, J.; Alam, S.; Linden, M.; Jensen, J.; Dijk, N. van; Ceccanti, A.; Apweiler, S.; Abt, B.; u. a.
2021. European Commission (EU). doi:10.2777/8702
O3as: an online ozone trend analysis service within EOSC-synergy
Kerzenmacher, T.; Kozlov, V.; Esteban Sanchis, B.; Cayoglu, U.; Hardt, M.; Braesicke, P.
2021, Januar 22. 5th Data Science Symposium (2021), Online, 22. Januar 2021
Umfrage zur Speicherung und Langzeitarchivierung von Forschungsdaten am KIT
Zentrum für Angewandte Kulturwissenschaft und Studium Generale (ZAK) (Hrsg.)
2021, Januar 19. doi:10.35097/387
The GridKa tape storage: latest improvements and current production setup
Musheghyan, H.; Ambroj Pérez, S.; Petzold, A.; Ressmann, D.; Sundermann, J. E.
2021. EPJ Web of Conferences, 251, Art.-Nr.: 02014. doi:10.1051/epjconf/202125102014
Batched Sparse Iterative Solvers for Computational Chemistry Simulations on GPUs
Aggarwal, I.; Kashi, A.; Nayak, P.; Balos, C. J.; Woodward, C. S.; Anzt, H.
2021. Proceedings of ScalA 2021: 12th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems: Held in conjunction with SC21: The International Conference for High Performance Computing, Networking, Storage and Analysis ; St. Louis, Missouri, USA, November 14-19, 2021, 35–43, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ScalA54577.2021.00010
Numerical Solution Strategies in Permeation Processes
Weth, A. von der; Koch, D. P.; Arbeiter, F.; Glage, T.; Klimenko, D.; Schlindwein, G.; Pasler, V.; Prothmann, N.; Zinn, K.
2021. Defect and diffusion forum, 413, 29–46. doi:10.4028/www.scientific.net/DDF.413.29
Implementation and Validation of a Computationally Efficient DNS Solver for Reacting Flows in OpenFOAM
Zirwes, T.; Zhang, F.; Habisreuther, P.; Denev, J.; Bockhorn, H.; Trimis, D.
2021. 14th WCCM-ECCOMAS Congress 2020: Collection of papers presented at the 14th edition of the WCCM-ECCOMAS, virtual congress, January, 11-15, 2021. Ed.: F. Chinesta, Scipedia S.L. doi:10.23967/wccm-eccomas.2020.175
DNS of Near Wall Dynamics of Premixed CH/Air Flames
Zhang, F.; Zirwes, T.; Häber, T.; Bockhorn, H.; Trimis, D.; Suntz, R.
2021. 14th WCCM-ECCOMAS Congress 2020: Collection of papers presented at the 14th edition of the WCCM-ECCOMAS, virtual congress, January, 11-15, 2021. Ed.: F. Chinesta, Scipedia S.L. doi:10.23967/wccm-eccomas.2020.123
Hybrid eulerian-lagrangian approach for dense spray simulations
Heidarifatasmi, H.; Zirwes, T.; Zhang, F.; Habisreuther, P.; Trimis, D.
2021. Graph Drawing and Network Visualization: 29th International Symposium, GD 2021, Tübingen, Germany, September 14–17, 2021, Revised Selected Papers. Ed.: H. C. Purchase, 1–12, Scipedia S.L. doi:10.23967/wccm-eccomas.2020.172
On the analytical inversion of solver matrices used in numerical approximations for the diffusion equation
Glage, T.; Weth, A. von der; Arbeiter, F.; Koch, D. P.
2021. Defect and Diffusion Forum, 413, 3–18. doi:10.4028/www.scientific.net/DDF.413.3
Metadata schema to support FAIR data in scanning electron microscopy
Joseph, R.; Chauhan, A.; Eschke, C.; Ihsan, A. Z.; Jalali, M.; Jäntsch, U.; Jung, N.; Shyam Kumar, C. N.; Kübel, C.; Lucas, C.; Mail, M.; Mazilkin, A.; Neidiger, C.; Panighel, M.; Sandfeld, S.; u. a.
2021. Supplementary Proceedings of the XXIII International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2021): Moscow, Russia, October 26-29, 2021. Ed.: A. Pozanenko, 265–277, CEUR-WS.org
Enhancing OpenFOAM’s Performance on HPC Systems
Zirwes, T.; Zhang, F.; Denev, J. A.; Habisreuther, P.; Bockhorn, H.; Trimis, D.
2021. High Performance Computing in Science and Engineering ’19 – Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2019. Ed.: W. Nagel, 225–239, Springer International Publishing. doi:10.1007/978-3-030-66792-4_16
Ad-Hoc File Systems At Extreme Scales
Soysal, M.; Streit, A.
2021. High Performance Computing in Science and Engineering ’19 – Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2019. Ed.: W. Nagel, 537–549, Springer International Publishing. doi:10.1007/978-3-030-66792-4_36
MoMaF Science Data Center für Molekulare Materialforschung
Altschuh, P.; Bach, F.; Bräse, S.; Hartmann, T.; Jung, N.; Krauß, P.; Nestler, B.; Schiefer, G.; Schreiber, C.; Selzer, M.; Terzijska, D.
2021. E-Science-Tage 2019: Data to Knowledge (2021), Heidelberg, Deutschland, 4.–5. März 2021
The Michelson Interferometer for Passive Atmospheric Sounding global climatology of BrONO2 2002–2012: a test for stratospheric bromine chemistry
Höpfner, M.; Kirner, O.; Wetzel, G.; Sinnhuber, B.-M.; Haenel, F.; Johansson, S.; Orphal, J.; Ruhnke, R.; Stiller, G.; Clarmann, T. von
2021. Atmospheric chemistry and physics, 21 (24), 18433–18464. doi:10.5194/acp-21-18433-2021
Chemotion Repository, a Curated Repository for Reaction Information and Analytical Data
Tremouilhac, P.; Huang, P.-C.; Lin, C.-L.; Huang, Y.-C.; Nguyen, A.; Jung, N.; Bach, F.; Bräse, S.
2021. Chemistry methods, 1 (1), 8–11. doi:10.1002/cmtd.202000034
NFDI4Chem – Infrastruktur für den digitalen Wandel in der Chemischen Forschung
Jung, N.; Neumann, S.; Koepler, O.; Bach, F.; Popp, C.; Herres-Pawlis, S.; Liermann, J.; Razum, M.; Steinbeck, C.
2021. Bunsen-Magazin, 23 (2), 100–103. doi:10.26125/r978-6f93
MoMaF Science Data Center für Molekulare Materialforschung
Altschuh, P.; Bach, F.; Bräse, S.; Hartmann, T.; Jung, N.; Krauß, P.; Nestler, B.; Schiefer, G.; Schreiber, C.; Selzer, M.; Terzijska, D.
2021. E-Science-Tage 2021: Share Your Research Data, Heidelberg, 04.03. - 05.03.2021. doi:10.11588/heidok.00029699
NFDI4Chem – Fachkonsortium für die Chemie - Bausteine Forschungsdatenmanagement Empfehlungen und Erfahrungsberichte für die Praxis von Forschungsdatenmanagerinnen und -managern
Ortmeyer, J.; Schön, F.; Herres-Pawlis, S.; Jung, N.; Bach, F.; Liermann, J.; Neumann, S.; Popp, C.; Razum, M.; Koepler, O.; Steinbeck, C.
2021. doi:10.17192/bfdm.2021.2.8340
Authentische und relevante Modellierung mit Schülerinnen und Schülern an nur einem Tag?!
Wohak, K.; Sube, M.; Schönbrodt, S.; Roeckerath, C.; Frank, M.
2021. Neue Materialien für einen realitätsbezogenen Mathematikunterricht 8 – ISTRON-Schriftenreihe. Ed.: M. Bracke, 37–50, Springer Fachmedien Wiesbaden. doi:10.1007/978-3-658-33012-5_4
Checkliste zur Unterstützung der Helmholtz-Zentren bei der Implementierung von Richtlinien für nachhaltige Forschungssoftware
Messerschmidt, R.; Pampel, H.; Bach, F.; Castell, W. zu; Denker, M.; Finke, A.; Fritzsch, B.; Hammitzsch, M.; Konrad, U.; Leifels, Y.; Möhl, C.; Nolden, M.; Scheinert, M.; Schlauch, T.; Schnicke, T.; u. a.
2021. Helmholtz Open Science Office. doi:10.48440/os.helmholtz.031
Digitales Lernmaterial zur Netflix Challenge
Schönbrodt, S.; Frank, M.
2021. Beiträge zum Mathematikunterricht 2021. Hrsg.: Kerstin Hein, Cathleen Heil, Silke Ruwisch & Susanne Prediger, WTM Verlag für wissenschaftliche Texte und Medien. doi:10.17877/DE290R-22328
Zerstörungsfreie stoffliche Beschreibung und Plausibilitätsprüfung radioaktiver Abfälle mittels QUANTOM
Coquard, L.; Nordhardt, G.; Hummel, J.; Havenith, A.; Krycki, K.; Hirsch, M.; Wangnick, M.; Fu, B.; Reisenhofer, F.; Hansmann, B.; Hansmann, T.; Helmes, C.; Dürr, M.; Rother, M.; Simons, F.; u. a.
2021. KONTEC GmbH
Punzinet
Haigh, H.; Feichtinger, P.; Inguglia, G.; Kahn, J.
2021
Punzi-loss and Punzi-net, outperforming standard MVA techniques in the search for new particles of unknown masses
Haigh, H.; Feichtinger, P.; Inguglia, G.; Kahn, J.
2021. 20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2021), Daejeon, Südkorea, 29. November–3. Dezember 2021
ddKS - a d-dimensional Kolmogorov-Smirnov Test
Hagen, A.; Jackson, S.; Kahn, J.; Strube, J.; Haide, I.; Pazdernik, K.; Hainje, C.
2021
Measurements of branching fractions and CP-violating charge asymmetries in multibody charmless decays reconstructed in 2019-2020 Belle II data
Belle 2 Collaboration; Abudinén, F.; Adachi, I.; Adak, R.; Adamczyk, K.; Ahlburg, P.; Ahn, J. K.; Aihara, H.; Akopov, N.; Aloisio, A.; Ameli, F.; Andricek, L.; Ky, N. A.; Asner, D. M.; Atmacan, H.; u. a.
2021
Angular analysis of decays reconstructed in 2019-2020 Belle II data
Belle 2 Collaboration; Abudinén, F.; Adachi, I.; Adak, R.; Adamczyk, K.; Ahlburg, P.; Ahn, J. K.; Aihara, H.; Akopov, N.; Aloisio, A.; Ameli, F.; Andricek, L.; Ky, N. A.; Asner, D. M.; Atmacan, H.; u. a.
2021
Punzi-loss: A non-differentiable metric approximation for sensitivity optimisation in the search for new particles
Belle 2 Collaboration; Abudinén, F.; Bertemes, M.; Bilokin, S.; Campajola, M.; Casarosa, G.; Cunliffe, S.; Corona, L.; Pietro, G. D.; Dey, S.; Eliachevitch, M.; Feichtinger, P.; Ferber, T.; Gemmler, J.; Goldenzweig, P.; u. a.
2021
Search for the decay at the Belle experiment
Belle Collaboration; Dong, T. V.; Luo, T.; Adachi, I.; Aihara, H.; Asner, D. M.; Atmacan, H.; Aulchenko, V.; Aushev, T.; Ayad, R.; Babu, V.; Bahinipati, S.; Behera, P.; Belous, K.; Bernlochner, F.; u. a.
2021
Measurements of the branching fractions for decays at Belle II
Belle 2 Collaboration; Abudinén, F.; Adachi, I.; Adak, R.; Adamczyk, K.; Aggarwal, L.; Ahlburg, P.; Ahmed, H.; Ahn, J. K.; Aihara, H.; Akopov, N.; Aloisio, A.; Ameli, F.; Andricek, L.; Ky, N. A.; u. a.
2021. doi:10.5445/IR/1000140500
Search for meson decays into and missing energy with a hadronic tagging method at Belle
Belle Collaboration; Hadjivasiliou, C.; Fulsom, B. G.; Strube, J. F.; Adachi, I.; Aihara, H.; Asner, D. M.; Atmacan, H.; Aushev, T.; Babu, V.; Belous, K.; Bennett, J.; Bessner, M.; Bhardwaj, V.; Bhuyan, B.; u. a.
2021
Measurements of the branching fractions of , , and decays at Belle
Belle 2 Collaboration; Li, Y.; Cui, J. X.; Jia, S.; Shen, C. P.; Adachi, I.; Ahn, J. K.; Aihara, H.; Al Said, S.; Asner, D. M.; Atmacan, H.; Aushev, T.; Ayad, R.; Babu, V.; Bahinipati, S.; u. a.
2021
The global and multi-annual MUSICA IASI {H2O, δD} pair dataset
Diekmann, C. J.; Schneider, M.; Ertl, B.; Hase, F.; García, O.; Khosrawi, F.; Sepúlveda, E.; Knippertz, P.; Braesicke, P.
2021. Earth system science data, 13 (11), 5273–5292. doi:10.5194/essd-13-5273-2021
Sektionskonzept Meta(daten), Terminologien und Provenienz zur Einrichtung einer Sektion im Verein Nationale Forschungsdateninfrastruktur (NFDI) e.V
Koepler, O.; Schrade, T.; Neumann, S.; Stotzka, R.; Wiljes, C.; Blümel, I.; Bracht, C.; Hamann, T.; Arndt, S.; Hunold, J.
2021. Zenodo. doi:10.5281/zenodo.5619089
Numerical database of highly-resolved turbulent flame-wall interaction simulations for model validation
Zirwes, T.; Zhang, F.; Steinhausen, M.; Habisreuther, P.; Bockhorn, H.; Hasse, C.; Trimis, D.
2021. 30. Deutscher Flammentag, Deutsche Sektion des Combustion Institutes und DVV/VDI-Gesellschaft Energie und Umwelt. Ed.: Dinkelacker, Friedrich; Pitsch Heinz; Scherer, Viktor, 1144–1153
DNS of Unsteady Flame-Wall Interaction
Zhang, F.; Zirwes, T.; Häber, T.; Bockhorn, H.; Trimis, D.; Wang, R.; Suntz, R.
2021. 30. Deutscher Flammentag, Deutsche Sektion des Combustion Institutes und DVV/VDI-Gesellschaft Energie und Umwelt. Ed.: F. Dinkelacker, H. Pitsch, V. Scherer, 1106–1115
Efficient uncertainty quantification for Monte Carlo dose calculations using importance (re-)weighting
Stammer, P.; Burigo, L.; J kel, O.; Frank, M.; Wahl, N.
2021. Physics in Medicine and Biology, 66 (20), 205003. doi:10.1088/1361-6560/ac287f
Mixed Precision Incomplete and Factorized Sparse Approximate Inverse Preconditioning on GPUs
Göbel, F.; Grützmacher, T.; Ribizel, T.; Anzt, H.
2021. Euro-Par 2021: Parallel Processing: 27th International Conference on Parallel and Distributed Computing, Lisbon, Portugal, September 1–3, 2021, Proceedings. Ed.: L. Sousa, 550–564, Springer Verlag. doi:10.1007/978-3-030-85665-6_34
Retrieval of Water Vapour Profiles from GLORIA Nadir Observations
König, N.; Wetzel, G.; Höpfner, M.; Friedl-Vallon, F.; Johansson, S.; Kleinert, A.; Schneider, M.; Ertl, B.; Ungermann, J.
2021. Remote sensing, 13 (18), Article no: 3675. doi:10.3390/rs13183675
Accelerating Neural Network Training with Distributed Asynchronous and Selective Optimization (DASO)
Coquelin, D.; Debus, C.; Götz, M.; Lehr, F. von der; Kahn, J.; Siggel, M.; Streit, A.
2021. Springer. doi:10.21203/rs.3.rs-832355/v1
Odderon Exchange from Elastic Scattering Differences between pp and pp Data at 1.96 TeV and from pp Forward Scattering Measurements
Abazov, V. M.; Abbott, B.; Acharya, B. S.; Adams, M.; Adams, T.; Agnew, J. P.; Alexeev, G. D.; Alkhazov, G.; Alton, A.; Alves, G. A.; Antchev, G.; Askew, A.; Aspell, P.; Assis Jesus, A. C. S.; Atanassov, I.; u. a.
2021. Physical Review Letters, 127 (6), Art.-Nr.: 062003. doi:10.1103/PhysRevLett.127.062003
Digitale Erforschung epistemischer Verflechtungen : Informationsinfrastruktur und vormoderne Wissenstransfers
Krewet, M.; Kahl, J.; Götzelmann, G.; Hübner, J.; Hegel, P.; Söring, S.; Tonne, D.
2021. Wissensoikonomien. Hrsg.: N. Schmidt, 135–150, Harrassowitz Verlag
A Collaborative Peer Review Process for Grading Coding Assignments
Nayak, P.; Göbel, F.; Anzt, H.
2021. Computational Science – ICCS 2021: 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part VI. Ed.: M. Paszynski, 654–660, Springer Verlag. doi:10.1007/978-3-030-77980-1_49
Search for the decay B →η’η
Belle Collaboration; Nisar, N. K.; Savinov, V.; Adachi, I.; Aihara, H.; Al Said, S.; Asner, D. M.; Atmacan, H.; Aushev, T.; Ayad, R.; Babu, V.; Bahinipati, S.; Behera, P.; Bennett, J.; Bessner, M.; u. a.
2021. Physical review / D, 104 (3), Art.-Nr.: L031101. doi:10.1103/PhysRevD.104.L031101
AI-based thermal bridge detection of building rooftops on district scale using aerial images
Mayer, Z.; Kahn, J.; Hou, Y.; Volk, R.
2021. EG-ICE 2021 Workshop on Intelligent Computing in Engineering. Ed.: Jimmy Abualdenien, André Borrmann, Lucian-Constantin Ungureanu, Timo Hartmann, 497–507, Universitätsverlag der TU Berlin
Erratum: Measurement of the CKM matrix element |V| from B → D lv at Belle [Phys. Rev. / D, vol. 100, Art.Nr. 052007, 2019; DOI: 10.1103/PhysRevD.100.052007 ]
Belle Collaboration; Waheed, E.; Urquijo, P.; Ferlewicz, D.; Adachi, I.; Adamczyk, K.; Aihara, H.; Al Said, S.; Asner, D. M.; Atmacan, H.; Aushev, T.; Ayad, R.; Babu, V.; Badhrees, I.; Bansal, V.; u. a.
2021. Physical review / D, 103 (7), Art.Nr.: 079901. doi:10.1103/PhysRevD.103.079901
Measurement of branching fractions and CP asymmetries for D →K(η,π) and D → π(η,π) decays at Belle
Belle Collaboration; Guan, Y.; Schwartz, A. J.; Kinoshita, K.; Adachi, I.; Aihara, H.; Al Said, S.; Asner, D. M.; Atmacan, H.; Aulchenko, V.; Aushev, T.; Ayad, R.; Babu, V.; Behera, P.; Bennett, J.; u. a.
2021. Physical review / D, 103 (11), Article: 112005. doi:10.1103/PhysRevD.103.112005
Probabilistic Representation of Objects and Their Support Relations
Paus, F.; Asfour, T.
2021. Experimental Robotics : The 17th International Symposium on Experimental Robotics, November 9–12, 2020 [postponed to Nov. 15–18, 2021], Floriana, Malta. Ed.: B. Siciliano, 510–519, Springer International Publishing. doi:10.1007/978-3-030-71151-1_45
Entropy–Based Methods for Uncertainty Quantification of Hyperbolic Conservation Laws
Frank, M.; Kusch, J.; Wolters, J.
2021. Recent Advances in Numerical Methods for Hyperbolic PDE Systems – NumHyp 2019. Ed.: M. Muñoz-Ruiz, 29–56, Springer International Publishing. doi:10.1007/978-3-030-72850-2_2
An environment for sustainable research software in Germany and beyond: current state, open challenges, and call for action
Anzt, H.; Bach, F.; Druskat, S.; Löffler, F.; Loewe, A.; Renard, B. Y.; Seemann, G.; Struck, A.; Achhammer, E.; Aggarwal, P.; Appel, F.; Bader, M.; Brusch, L.; Busse, C.; Chourdakis, G.; u. a.
2021. F1000Research, 9, 295. doi:10.12688/f1000research.23224.2
Numerical Solution Strategies in Permeation Processes
Weth, A. von der; Piccioni Koch, D.; Arbeiter, F.; Klimenko, D.; Schlindwein, G.; Schulz, M. J.; Pasler, M. J.; Prothmann, N.; Zinn, K.
2021. 17th International Conference on Diffusion in Solids and Liquids (DSL 2021), Valletta, Malta, 28. Juni–2. Juli 2021
A Semi-supervised Approach for Trajectory Segmentation to Identify Different Moisture Processes in the Atmosphere
Ertl, B.; Schneider, M.; Diekmann, C.; Meyer, J.; Streit, A.
2021. Computational Science – ICCS 2021 – 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part I. Ed.: M. Paszynski, 264–277, Springer International Publishing. doi:10.1007/978-3-030-77961-0_23
Evidence for X(3872)→J/ψπ+π− Produced in Single-Tag Two-Photon Interactions
Belle Collaboration; Teramoto, Y.; Uehara, S.; Masuda, M.; Adachi, I.; Aihara, H.; Al Said, S.; Asner, D. M.; Atmacan, H.; Aushev, T.; Ayad, R.; Babu, V.; Behera, P.; Beleño, C.; Bennett, J.; u. a.
2021. Physical review letters, 126 (12), Art.-Nr.: 122001. doi:10.1103/PhysRevLett.126.122001
On GPU optimizations of stencil codes for highly parallel simulations
Pfisterer, N.; Berghoff, M.; Streit, A.
2021. Proceedings 29th Euromicro International Conference on Parallel, Distributed and Network-Based Processing PDP 2021: Valladolid, Spain ; 10-12 March 2021, 228–235, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PDP52278.2021.00043
Test of Lepton-Flavor Universality in B → K*l⁺l⁻ Decays at Belle
Belle Collaboration; Wehle, S.; Adachi, I.; Adamczyk, K.; Aihara, H.; Asner, D. M.; Atmacan, H.; Aulchenko, V.; Aushev, T.; Ayad, R.; Babu, V.; Behera, P.; Berger, M.; Bhardwaj, V.; Biswal, J.; u. a.
2021. Physical review letters, 126 (16), Article: 161801. doi:10.1103/PhysRevLett.126.161801
Pollution trace gases C₂H₆, C₂H₂, HCOOH, and PAN in the North Atlantic UTLS: observations and simulations
Wetzel, G.; Friedl-Vallon, F.; Glatthor, N.; Grooß, J.-U.; Gulde, T.; Höpfner, M.; Johansson, S.; Khosrawi, F.; Kirner, O.; Kleinert, A.; Kretschmer, E.; Maucher, G.; Nordmeyer, H.; Oelhaf, H.; Orphal, J.; u. a.
2021. Atmospheric chemistry and physics, 21 (10), 8213–8232. doi:10.5194/acp-21-8213-2021
1. KIT-interner Workshop zur Wasserstoff- und Brennstoffzellen-Forschung
Weth, A. von der; Piccioni Koch, D.; Pasler, V.
2021. 1. KIT-interner Workshop zur Wasserstoff- und Brennstoffzellen-Forschung (2021), Online, 2. März 2021
Oxygen-Evolution Reaction by a Palladium Foil in the Presence of Iron
Akbari, N.; Kondov, I.; Vandichel, M.; Aleshkevych, P.; Najafpour, M. M.
2021. Inorganic Chemistry, 60 (8), 5682–5693. doi:10.1021/acs.inorgchem.0c03746
A Lagrangian perspective on stable water isotopes during the West African Monsoon
Diekmann, C. J.; Schneider, M.; Knippertz, P.; Vries, A. J. de; Pfahl, S.; Aemisegger, F.; Dahinden, F.; Ertl, B.; Khosrawi, F.; Wernli, H.; Braesicke, P.
2021. doi:10.1002/essoar.10506628.1
Application of reaction-diffusion manifolds (REDIM) for the simulation of two-dimensional axisymmetric laminar diffusion flames
Li, N.; Yu, C.; Zirwes, T.; Maas, U.
2021. 10th European Combustion Meeting (ECM 2021), April 14-15, 2021, Virtual Edition. Proceedings Volume, MCM
The MUSICA IASI {HO, δD} pair product
Diekmann, C. J.; Schneider, M.; Ertl, B.; Hase, F.; García, O.; Khosrawi, F.; Sepúlveda, E.; Knippertz, P.; Braesicke, P.
2021. Earth system science data discussions. doi:10.5194/essd-2021-87
Test of lepton flavor universality and search for lepton flavor violation in B → Kℓℓ decays
Belle Collaboration; Choudhury, S.; Sandilya, S.; Trabelsi, K.; Giri, A.; Aihara, H.; Al Said, S.; Asner, D. M.; Atmacan, H.; Aulchenko, V.; Aushev, T.; Ayad, R.; Babu, V.; Bahinipati, S.; Behera, P.; u. a.
2021. Journal of high energy physics, 2021 (3), Art. Nr.: 105. doi:10.1007/JHEP03(2021)105
Balanced and Compressed Coordinate Layout for the Sparse Matrix-Vector Product on GPUs
Aliaga, J. I.; Anzt, H.; Quintana-Ortí, E. S.; Tomás, A. E.; Tsai, Y. M.
2021. Euro-Par 2020: Parallel Processing Workshops: Euro-Par 2020 International Workshops, Warsaw, Poland, August 24–25, 2020, Revised Selected Papers. Ed.: B. Balis, 83–95, Springer Verlag. doi:10.1007/978-3-030-71593-9_7
Preparing Ginkgo for AMD GPUs – A Testimonial on Porting CUDA Code to HIP
Tsai, Y. M.; Cojean, T.; Ribizel, T.; Anzt, H.
2021. Euro-Par 2020: Parallel Processing Workshops: Euro-Par 2020 International Workshops, Warsaw, Poland, August 24–25, 2020, Revised Selected Papers. Ed.: B. Balis, 109–121, Springer Verlag. doi:10.1007/978-3-030-71593-9_9
RDA Metadata Standards Catalog Adoption
Hartmann, V.; Jejkal, T.; Sharfeldin, O.; Stotzka, R.
2021. 17th RDA Plenary Meeting (2021), Online, 20.–23. April 2021
Metastore - Enable FAIR Metadata Documents
Hartmann, V.; Jejkal, T.; Stotzka, R.
2021. 17th RDA Plenary Meeting (2021), Online, 20.–23. April 2021
Intercomparison of arctic XHO observations from three ground-based Fourier transform infrared networks and application for satellite validation
Tu, Q.; Hase, F.; Blumenstock, T.; Schneider, M.; Schneider, A.; Kivi, R.; Heikkinen, P.; Ertl, B.; Diekmann, C.; Khosrawi, F.; Sommer, M.; Borsdorff, T.; Raffalski, U.
2021. Atmospheric Measurement Techniques, 14 (3), 1993–2011. doi:10.5194/amt-14-1993-2021
Study of the normalized transverse momentum distribution of W bosons produced in p collisions at =1.96  TeV
Abazov, V. M.; Abbott, B.; Acharya, B. S.; Adams, M.; Adams, T.; Agnew, J. P.; Alexeev, G. D.; Alkhazov, G.; Alton, A.; Askew, A.; Atkins, S.; Augsten, K.; Aushev, V.; Aushev, Y.; Avila, C.; u. a.
2021. Physical review / D, 103 (1), Art. Nr.: 012003. doi:10.1103/PhysRevD.103.012003
Technical note: “Bit by bit”: a practical and general approach for evaluating model computational complexity vs. model performance
Azmi, E.; Ehret, U.; Weijs, S. V.; Ruddell, B. L.; Perdigão, R. A. P.
2021. Hydrology and earth system sciences, 25 (2), 1103–1115. doi:10.5194/hess-25-1103-2021
Crediting pull requests to open source research software as an academic contribution
Anzt, H.; Kuehn, E.; Flegar, G.
2021. Journal of computational science, 49, Art.-Nr.: 101278. doi:10.1016/j.jocs.2020.101278
Deutschland in der European Open Science Cloud
Streit, A.; Wezel, J. van
2021. Praxishandbuch Forschungsdatenmanagement. Hrsg.: Markus Putnings, 31–52, De Gruyter Saur. doi:10.1515/9783110657807-003
Identification of Flame Regimes in Partially Premixed Combustion from a Quasi-DNS Dataset
Zirwes, T.; Zhang, F.; Habisreuther, P.; Hansinger, M.; Bockhorn, H.; Pfitzner, M.; Trimis, D.
2021. Flow, turbulence and combustion, 106 (2), 373–404. doi:10.1007/s10494-020-00228-9
In-situ flame particle tracking based on barycentric coordinates for studying local flame dynamics in pulsating Bunsen flames
Zirwes, T.; Zhang, F.; Wang, Y.; Habisreuther, P.; Denev, J. A.; Chen, Z.; Bockhorn, H.; Trimis, D.
2021. Proceedings of the Combustion Institute, 38 (2), 2057–2066. doi:10.1016/j.proci.2020.07.033
Ignition of dimethyl ether/air mixtures by hot particles: Impact of low temperature chemical reactions
Wang, Y.; Zhang, H.; Zirwes, T.; Zhang, F.; Bockhorn, H.; Chen, Z.
2021. Proceedings of the Combustion Institute, 38 (2), 2459–2466. doi:10.1016/j.proci.2020.06.254
Numerical Study of Quenching Distances for Side-Wall Quenching Using Detailed Diffusion and Chemistry
Zirwes, T.; Häber, T.; Zhang, F.; Kosaka, H.; Dreizler, A.; Steinhausen, M.; Hasse, C.; Stagni, A.; Trimis, D.; Suntz, R.; Bockhorn, H.
2021. Flow, turbulence and combustion, 106, 649–679. doi:10.1007/s10494-020-00215-0
Near Wall Dynamics of Premixed Flames
Zhang, F.; Zirwes, T.; Häber, T.; Bockhorn, H.; Trimis, D.; Suntz, R.
2021. Proceedings of the Combustion Institute, 38 (2), 1955–1964. doi:10.1016/j.proci.2020.06.058
Numerical Investigation of Local Heat-Release Rates and Thermo-Chemical States in Side-Wall Quenching of Laminar Methane and Dimethyl Ether Flames
Steinhausen, M.; Luo, Y.; Popp, S.; Straßacker, C.; Zirwes, T.; Kosaka, H.; Zentgraf, F.; Maas, U.; Sadiki, A.; Dreizler, A.; Hasse, C.
2021. Flow, turbulence and combustion, 106, 681–700. doi:10.1007/s10494-020-00146-w
Numerical Computation of Turbulent Flow Fields in a Fan-stirred Combustion Bomb
Zhang, F.; Zirwes, T.; Habisreuther, P.; Zarzalis, N.; Bockhorn, H.; Trimis, D.
2021. Combustion science and technology, 193 (4), 594–610. doi:10.1080/00102202.2019.1665520
2020
A Guide for Publishing, Using, and Licensing Research Software in Germany
Struck, A.; Loewe, A.; Achhammer, E.; Rack, F.; Bach, F.; Löffler, F.; Seemann, G.; Anzt, H.; Funk, M.; Unger, S.; Druskat, S.; Friedl, S.
2020. Zenodo. doi:10.5281/zenodo.4327148
JAWS – Just Another Workspace Suite Data Orchestration for HPC Environments
Soysal, M.
2020. The 18th Annual Meeting of the 2020 International Conference on High Performance Computing & Simulation
The Repository Chemotion: Infrastructure for Sustainable Research in Chemistry
Tremouilhac, P.; Lin, C.-L.; Huang, P.-C.; Huang, Y.-C.; Nguyen, A.; Jung, N.; Bach, F.; Ulrich, R.; Neumair, B.; Streit, A.; Bräse, S.
2020. Angewandte Chemie / International edition, 59 (50), 22771–22778. doi:10.1002/anie.202007702
Pollution trace gas distributions and their transport in the Asian monsoon upper troposphere and lowermost stratosphere during the StratoClim campaign 2017
Johansson, S.; Höpfner, M.; Kirner, O.; Wohltmann, I.; Bucci, S.; Legras, B.; Friedl-Vallon, F.; Glatthor, N.; Kretschmer, E.; Ungermann, J.; Wetzel, G.
2020. Atmospheric chemistry and physics, 20 (23), 14695–14715. doi:10.5194/acp-20-14695-2020
Extending an Open-Source Federated Identity Management System for Enhanced HPC Security
Buchmüller, J.; Raffeiner, S.; Simon, M.; Obermaier, H.; Weisbrod, P.; Weiß, U.; Nußbaumer, M.
2020, November 17. The International Conference for High Performance Computing, Networking, Storage, and Analysis (2020, SC20 2020), Online, 9.–19. November 2020
Spatio-temporal Structure of the Boundary Layer under the Impact of Mountain Waves
Kalthoff, N.; Adler, B.; Bischoff-Gauss, I.
2020. Meteorologische Zeitschrift, 29 (5), 409–424. doi:10.1127/metz/2020/1033
Workflow Generation with wfGenes
Roozmeh, M.; Kondov, I.
2020. IEEE/ACM Workflows in Support of Large-Scale Science (WORKS), 9–16, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/WORKS51914.2020.00007
On the role of trend and variability in the hydroxyl radical (OH) in the global methane budget
Zhao, Y.; Saunois, M.; Bousquet, P.; Lin, X.; Berchet, A.; Hegglin, M. I.; Canadell, J. G.; Jackson, R. B.; Deushi, M.; Jöckel, P.; Kinnison, D.; Kirner, O.; Strode, S.; Tilmes, S.; Dlugokencky, E. J.; u. a.
2020. Atmospheric chemistry and physics, 20 (21), 13011–13022. doi:10.5194/acp-20-13011-2020
Effective Dynamic Integration and Utilization of Heterogenous Compute Resources
Fischer, M.; Giffels, M.; Heiss, A.; Kuehn, E.; Schnepf, M.; Cube, R. F. von; Petzold, A.; Quast, G.
2020. The European physical journal / Web of Conferences, 245, Article no: 07038. doi:10.1051/epjconf/202024507038
Lightweight dynamic integration of opportunistic resources
Fischer, M.; Kuehn, E.; Giffels, M.; Schnepf, M. J.; Petzold, A.; Heiss, A.
2020. The European physical journal / Web of Conferences, 245, Article no: 07040. doi:10.1051/epjconf/202024507040
Setup and commissioning of a high-throughput analysis cluster
Caspart, R.; Fischer, M.; Giffels, M.; Cube, R. F. von; Heidecker, C.; Kuehn, E.; Quast, G.; Heiss, A.; Petzold, A.
2020. (C. Doglioni, D. Kim, G. A. Stewart, L. Silvestris, P. Jackson & W. Kamleh, Hrsg.) The European physical journal / Web of Conferences, 245, Article no: 07007. doi:10.1051/epjconf/202024507007
Ray Effect Mitigation for the Discrete Ordinates Method Using Artificial Scattering
Frank, M.; Kusch, J.; Camminady, T.; Hauck, C. D.
2020. Nuclear science and engineering, 194 (11), 971–988. doi:10.1080/00295639.2020.1730665
Numerical evaluation of a novel double-concentric swirl burner for sulfur combustion
Zhang, F.; Heidarifatasmi, H.; Harth, S.; Zirwes, T.; Wang, R.; Fedoryk, M.; Sebbar, N.; Habisreuther, P.; Trimis, D.; Bockhorn, H.
2020. Renewable & sustainable energy reviews, 133, Art. Nr.: 110257. doi:10.1016/j.rser.2020.110257
Intrusive acceleration strategies for uncertainty quantification for hyperbolic systems of conservation laws
Kusch, J.; Wolters, J.; Frank, M.
2020. Journal of computational physics, 419, Art. Nr.: 109698. doi:10.1016/j.jcp.2020.109698
Deep Learning, Feature Learning, and Clustering Analysis for SEM Image Classification
Aversa, R.; Coronica, P.; De Nobili, C.; Cozzini, S.
2020. Data Intelligence, 2 (4), 513–528. doi:10.1162/dint_a_00062
Cells in Silico – introducing a high-performance framework for large-scale tissue modeling
Berghoff, M.; Rosenbauer, J.; Hoffmann, F.; Schug, A.
2020. BMC bioinformatics, 21 (1), 436. doi:10.1186/s12859-020-03728-7
Robust Mathematical Formulation and Probabilistic Description of Agent-Based Computational Economic Market Models
Beikirch, M.; Cramer, S.; Frank, M.; Otte, P.; Pabich, E.; Trimborn, T.
2020. Advances in Complex Systems, 23 (6), Art.-Nr.: 2050017. doi:10.1142/S0219525920500174
The Eulerian Stochastic Fields Method Applied to Large Eddy Simulations of a Piloted Flame with Inhomogeneous Inlet
Hansinger, M.; Zirwes, T.; Zips, J.; Pfitzner, M.; Zhang, F.; Habisreuther, P.; Bockhorn, H.
2020. Flow, turbulence and combustion, 105 (3), 837–867. doi:10.1007/s10494-020-00159-5
Numerical Simulations of Turbulent Flame Propagation in a Fan-Stirred Combustion Bomb and Bunsen-Burner at Elevated Pressure
Zhang, F.; Zirwes, T.; Habisreuther, P.; Zarzalis, N.; Bockhorn, H.; Trimis, D.
2020. Flow, turbulence and combustion, 106, 925–944. doi:10.1007/s10494-020-00209-y
A velocity-space adaptive unified gas kinetic scheme for continuum and rarefied flows
Xiao, T.; Liu, C.; Xu, K.; Cai, Q.
2020. Journal of computational physics, 415, Art. Nr.: 109535. doi:10.1016/j.jcp.2020.109535
A customized precision format based on mantissa segmentation for accelerating sparse linear algebra
Grützmacher, T.; Cojean, T.; Flegar, G.; Göbel, F.; Anzt, H.
2020. Concurrency and computation, 32 (15), Article: e5418. doi:10.1002/cpe.5418
Detecting Regime Transitions of the Nocturnal and Polar Near-Surface Temperature Inversion
Kaiser, A.; Faranda, D.; Krumscheid, S.; Belušić, D.; Vercauteren, N.
2020. Journal of the Atmospheric Sciences, 77 (8), 2921–2940. doi:10.1175/JAS-D-19-0287.1
Quantifying uncertain system outputs via the multilevel Monte Carlo method. Part I: Central moment estimation
Krumscheid, S.; Nobile, F.; Pisaroni, M.
2020. Journal of Computational Physics, 414, Article no: 109466. doi:10.1016/j.jcp.2020.109466
HeAT – a Distributed and GPU-accelerated Tensor Framework for Data Analytics
Götz, M.; Coquelin, D.; Debus, C.; Krajsek, K.; Comito, C.; Knechtges, P.; Hagemeier, B.; Tarnawa, M.; Hanselmann, S.; Siggel, M.; Basermann, A.; Streit, A.
2020. doi:10.5445/IR/1000123473
Analyse verteilter Daten unter Berücksichtigung von Korrektheit, Skalierbarkeit und Vertraulichkeit. Dissertation
Schlitter, N.
2020, Juli 23. Karlsruher Institut für Technologie (KIT)
Design and Implementation of the first Generic Archive Storage Service for Research Data in Germany
Bach, F.; Schembera, B.; Van Wezel, J.
2020. International Journal of Digital Curation, 15 (1). doi:10.2218/ijdc.v15i1.553
On relaxation systems and their relation to discrete velocity Boltzmann models for scalar advection–diffusion equations
Simonis, S.; Frank, M.; Krause, M. J.
2020. Philosophical transactions of the Royal Society of London / A, 378 (2175), Article: 20190400. doi:10.1098/rsta.2019.0400
NFDI4Chem - Towards a National Research Data Infrastructure for Chemistry in Germany
Steinbeck, C.; Koepler, O.; Bach, F.; Herres-Pawlis, S.; Jung, N.; Liermann, J. C.; Neumann, S.; Razum, M.; Baldauf, C.; Biedermann, F.; Bocklitz, T. W.; Boehm, F.; Broda, F.; Czodrowski, P.; Engel, T.; u. a.
2020. Research ideas and outcomes, (6), e55852, 1–100. doi:10.3897/rio.6.e55852
DEEP framework for deep learning
Alic, A. S.; Antonacci, M.; Caballer, M.; Campos, I.; Costantini, A.; David, M.; Dlugolinsky, S.; Donvito, G.; Gomes, J.; Hardt, M.; Heredia, I.; Hluchy, L.; Ito, K.; Kozlov, V.; Lloret, L.; u. a.
2020, Juni 23. ISC High Performance (2020), Online, 22.–25. Juni 2020
Robust optimal aiming strategies in central receiver systems
Kuhnke, S.; Richter, P.; Kepp, F.; Cumpston, J.; Koster, A. M. C. A.; Büsing, C.
2020. Renewable energy, 152, 198–207. doi:10.1016/j.renene.2019.11.118
Optimization of Procedure for Determining Chlorine Nitrate in the Atmosphere from Ground-Based Spectroscopic Measurements
Virolainen, Y. A.; Polyakov, A. V.; Kirner, O.
2020. Journal of applied spectroscopy, 87 (2), 319–325. doi:10.1007/s10812-020-01002-5
DEEP demo: Deep learning in a Cloud and HPC environment
Kozlov, V.; Lloret, L.
2020, Mai 20. EOSC-hub week (2020), Online, 18.–20. Mai 2020
Performance gains in an ESM using parallel ad-hoc file systems
Versick, S.; Kirner, O.; Meyer, J.; Obermaier, H.; Soysal, M.
2020, April 30. doi:10.5194/egusphere-egu2020-18121
V-FOR-WaTer – the virtual research environment to discover and analyse environmental data
Meyer, J.; Azmi, E.; Hassler, S. K.; Mälicke, M.; Strobl, M.; Zehe, E.
2020. E-Science-Tage 2019: Data to Knowledge. Ed.: V. Heuveline, 199–201, Heidelberger E-Books (heiBOOKS). doi:10.11588/heibooks.598.c8434
Massively Parallel Large-Scale Multi-Model Simulation of Tumour Development Including Treatments
Berghoff, M.; Rosenbauer, J.; Schug, A.
2020. NIC Symposium 2020 : [27-28 February 2020], 63–71, Forschungszentrum Jülich
Multiscale Tissue Modeling Reveals Impact of Cancer Treatment to Tumor Heterogeneity
Rosenbauer, J.; Berghoff, M.; Schug, A. H.
2020. Biophysical journal, 118 (3), 348a. doi:10.1016/j.bpj.2019.11.2006
Measurement of the integrated luminosity of the Phase 2 data of the Belle II experiment
Belle 2 Collaboration; Abudinén, F.; Adachi, I.; Ahlburg, P.; Aihara, H.; Akopov, N.; Aloisio, A.; Ameli, F.; Andricek, L.; Anh Ky, N.; Asner, D. M.; Atmacan, H.; Aushev, T.; Aushev, V.; Aziz, T.; u. a.
2020. Chinese physics / C, 44 (2), Article: 021001. doi:10.1088/1674-1137/44/2/021001
High-performance data analytics of hybrid rocket fuel combustion data using different machine learning approaches
Debus, C.; Ruettgers, A.; Petrarolo, A.; Kobald, M.; Siggel, M.
2020. AIAA Scitech 2020 Forum, American Institute of Aeronautics and Astronautics. doi:10.2514/6.2020-1161
A Cloud-Based Framework for Machine Learning Workloads and Applications
Lopez Garcia, A.; Tran, V.; Alic, A. S.; Caballer, M.; Plasencia, I. C.; Costantini, A.; Dlugolinsky, S.; Duma, D. C.; Donvito, G.; Gomes, J.; Heredia Cacha, I.; De Lucas, J. M.; Ito, K.; Kozlov, V. Y.; Nguyen, G.; u. a.
2020. IEEE access, 8, 18681–18692. doi:10.1109/ACCESS.2020.2964386
The GridKa Tape Storage: various performance test results and current improvements
Musheghyan, H.; Petzold, A.; Heiss, A.; Ressmann, D.; Beitzinger, M.
2020. EPJ Web of Conferences, 245, Art.-Nr.: 04026. doi:10.1051/epjconf/202024504026
bwDIM - Data In Motion
Bach, F.; Ulrich, R.
2020. E-Science-Tage 2019: Data to Knowledge (2019), Heidelberg, Deutschland, 27.–29. März 2019
bwDIM - Data In Motion
Bach, F.; Ulrich, R.
2020. E-Science-Tage 2019: Data to Knowledge. Hrsg.: V. Heuveline, 248–249, Universitätsbibliothek Heidelberg. doi:10.11588/heidok.00026842
SuLMaSS - Sustainable Lifecycle Management for Scientific Software
Loewe, A.; Seemann, G.; Wülfers, E. M.; Huang, Y.-L.; Sánchez, J.; Bach, F.; Ulrich, R.; Selzer, M.
2020. E-Science-Tage 2019: Data to Knowledge (2019), Heidelberg, Deutschland, 27.–29. März 2019
SuLMaSS - Sustainable Lifecycle Management for Scientific Software
Loewe, A.; Seemann, G.; Wülfers, E. M.; Huang, Y.-L.; Sánchez, J.; Bach, F.; Ulrich, R.; Selzer, M.
2020. E-Science-Tage 2019 : data to knowledge. Hrsg.: V. Heuveline, 238–240, Universitätsbibliothek Heidelberg
Bedarfsgerechte Weiterentwicklung von RADAR als Forschungsdaten-Repositorium für das KIT
Bach, F.; Soltau, K.; Razum, M.
2020. E-Science-Tage 2019: Data to Knowledge. Hrsg.: V. Heuveline, 162–172, Universitätsbibliothek Heidelberg
HeAT - A Distributed and GPU-accelerated Tensor Framework for Data Analytics
Götz, M.; Debus, C.; Coquelin, D.; Krajsek, K.; Comito, C.; Knechtges, P.; Hagemeier, B.; Tarnawa, M.; Hanselmann, S.; Siggel, M.; Basermann, A.; Streit, A.
2020. 2020 IEEE International Conference on Big Data (Big Data): 10-13 December 2020, online, 276–287, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/BigData50022.2020.9378050
Studies of X(3872) and ψ(2S) production in collisions at 1.96 TeV
D0 Collaboration; Abazov, V. M.; Abbott, B.; Acharya, B. S.; Adams, M.; Adams, T.; Agnew, J. P.; Alexeev, G. D.; Alkhazov, G.; Alton, A.; Askew, A.; Atkins, S.; Augsten, K.; Aushev, V.; Aushev, Y.; u. a.
2020
Studies of X(3872) and ψ(2S) production in collisions at 1.96 TeV
D0 Collaboration; Abazov, V. M.; Abbott, B.; Acharya, B. S.; Adams, M.; Adams, T.; Agnew, J. P.; Alexeev, G. D.; Alkhazov, G.; Alton, A.; Askew, A.; Atkins, S.; Augsten, K.; Aushev, V.; Aushev, Y.; u. a.
2020. Physical review / D, 102 (7), Art.-Nr.: 072005. doi:10.1103/PhysRevD.102.072005
X-CEL: A Method to Estimate Near-Memory Acceleration Potential in Tile-Based MPSoCs
Rheindt, S.; Fried, A.; Lenke, O.; Nolte, L.; Sabirov, T.; Twardzik, T.; Wild, T.; Herkersdorf, A.
2020. Architecture of Computing Systems – ARCS 2020 – 33rd International Conference, Aachen, Germany, May 25–28, 2020, Proceedings. Ed.: A. Brinkmann, 109–123, Springer International Publishing. doi:10.1007/978-3-030-52794-5_9
Sparse Linear Algebra on AMD and NVIDIA GPUs – The Race Is On
Tsai, Y. M.; Cojean, T.; Anzt, H.
2020. High Performance Computing – 35th International Conference, ISC High Performance 2020, Frankfurt/Main, Germany, June 22–25, 2020, Proceedings. Ed.: P. Sadayappan, 309–327, Springer International Publishing. doi:10.1007/978-3-030-50743-5_16
IPv6-only networking on WLCG
Babik, M.; Bly, M.; Chown, T.; Christidis, D.; Chudoba, J.; Condurache, C.; Finnern, T.; Froy, T.; Grigoras, C.; Hafeez, K.; Hoeft, B.; Kelsey, D.; Lopes, R.; López Muñoz, F.; Martelli, E.; u. a.
2020. The European physical journal / Web of Conferences, 245, Art.-Nr.: 07045. doi:10.1051/epjconf/202024507045
Unroutable Traffic: Maintaining Trust and Integrity of the LHC Open Network Environment
Hoeft, B.; Ambroj Pérez, S.; Bergroth, M.; O’Connor, M.; Cziva, R.
2020. The European physical journal / Web of Conferences, 245, Art.-Nr.: 07018. doi:10.1051/epjconf/202024507018
NFDI4Ing - the National Research Data Infrastructure for Engineering Sciences
Schmitt, R. H.; Anthofer, V.; Auer, S.; Başkaya, S.; Bischof, C.; Bronger, T.; Claus, F.; Cordes, F.; Demandt, É.; Eifert, T.; Flemisch, B.; Fuchs, M.; Fuhrmans, M.; Gerike, R.; Gerstner, E.-M.; u. a.
2020. Zenodo. doi:10.5281/zenodo.4015201
Predicting resource usage for enhanced job scheduling for opportunistic resources in HEP
Kuehn, E.; Fischer, M.; Lange, S.; Petzold, A.; Heiss, A.
2020. The European physical journal / Web of Conferences, 245, Article no: 07039. doi:10.1051/epjconf/202024507039
Development of an Openfoam Solver for Numerical Simulation of Carbonization of Biomasses in Rotary Kilns
Tavakkol, S.; Zirwes, T.; Denev, J. A.; Jamshidi, F.; Bockhorn, H.
2020. OpenFOAM Workshop, June 22 - 25, 2020, Arlington, Virginia, USA
Aristoteles annotieren - Vom Handschriftendigitalisat zur qualitativ-quantitativen Annotation
Götzelmann, G.; Tonne, D.
2020. Bilddaten in den Digitalen Geisteswissenschaften. Hrsg.: C. Hastik, 53–66, Harrassowitz Verlag
Validation study for Large-Eddy Simulation of Forest Flow
Pitchurov, G.; Gromke, C.; Denev, J. A.; Cesar Cunha Galeazzo, F.
2020. E3S Web of Conferences, 207, Art.-Nr.: 02010. doi:10.1051/e3sconf/202020702010
Design of Metal-Organic Framework Templated Materials Using High-Throughput Computational Screening
Ahmad, M.; Luo, Y.; Wöll, C.; Tsotsalas, M.; Schug, A.
2020. Molecules, 25 (21), 4875. doi:10.3390/molecules25214875
Structure and properties of MgB2bulks: Ab-initio simulations compared to experiment
Romaka, V. V.; Prikhna, T. A.; Eisterer, M.; Shapovalov, A. P.; Goldacker, W.; Moshchil, V. E.; Kozyrev, A.; Rindfleisch, M.; Tompsic, M.; Hellstrom, E. E.; Grechnev, G. E.; Zhang, V. S.; Yang, F.; Li, C.
2020. IOP conference series / Materials science and engineering, 756 (1), Art. Nr.: 012020. doi:10.1088/1757-899X/756/1/012020
Loss Scheduling for Class-Imbalanced Segmentation Problems
Taubert, O.; Götz, M.; Schug, A.; Streit, A.
2020. 19th IEEE International Conference on Machine Learning and Applications (ICMLA), 422–427, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICMLA51294.2020.00073
HeAT – a Distributed and GPU-accelerated TensorFramework for Data Analytics
Götz, M.; Debus, C.; Coquelin, D.; Krajsek, K.; Comito, C.; Knechtges, P.; Hagemeier, B.; Tarnawa, M.; Hanselmann, S.; Siggel, M.; Basermann, A.; Streit, A.
2020. 2020 IEEE International Conference on Big Data (Big Data), 276–287, Institute of Electrical and Electronics Engineers (IEEE)
Walltime Prediction and Its Impact on Job Scheduling Performance and Predictability
Klusáček, D.; Soysal, M.
2020. Job Scheduling Strategies for Parallel Processing. Ed.: D. Klusáček, 127–144, Springer
ADA-FS - Advanced Data Placement via Ad hoc File Systems at Extreme Scales
Oeste, S.; Vef, M.-A.; Soysal, M.; Nagel, W. E.; Brinkmann, A.; Streit, A.
2020. Software for Exascale Computing-SPPEXA 2016-2019. Ed.: H.-J. Bungartz, 29–59, Springer. doi:10.1007/978-3-030-47956-5_4
CoExDBSCAN: Density-based Clustering with Constrained Expansion
Ertl, B.; Meyer, J.; Schneider, M.; Streit, A.
2020. Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. Ed.: A. Fred. Vol. 1, 104–115, SciTePress. doi:10.5220/0010131201040115
The whole is greater than the sum of its parts analyzing aristotle commentaries in collaboration between philology and data science
Krewet, M.; Tonne, D.; Götzelmann, G.; Hegel, P.; Soring, S.
2020. Twin Talks: Understanding and Facilitating Collaboration in Digital Humanities 2020: Proceedings of the Twin Talks 2 and 3 Workshops at DHN 2020 and DH 2020. Ed.: S. Krauwer, 103–114, RWTH Aachen
Using HEP experiment workflows for the benchmarking and accounting of WLCG computing resources
Valassi, A.; Alef, M.; Barbet, J.-M.; Datskova, O.; De Maria, R.; Fontes Medeiros, M.; Giordano, D.; Grigoras, C.; Hollowell, C.; Javurkova, M.; Khristenko, V.; Lange, D.; Michelotto, M.; Rinaldi, L.; Sciabà, A.; u. a.
2020. The European physical journal / Web of Conferences, 245, Art.-Nr.: 07035. doi:10.1051/epjconf/202024507035
Adaptive clustering: reducing the computational costs of distributed (hydrological) modelling by exploiting time-variable similarity among model elements
Ehret, U.; Pruijssen, R. van; Bortoli, M.; Loritz, R.; Azmi, E.; Zehe, E.
2020. Hydrology and earth system sciences, 24 (9), 4389–4411. doi:10.5194/hess-24-4389-2020
Evaluating asynchronous Schwarz solvers on GPUs
Nayak, P.; Cojean, T.; Anzt, H.
2020
Modeling of Wnt-mediated tissue patterning in vertebrate embryogenesis
Rosenbauer, J.; Zhang, C.; Mattes, B.; Reinartz, I.; Wedgwood, K.; Schindler, S.; Sinner, C.; Scholpp, S.; Schug, A.
2020. (A. R. Asthagiri, Hrsg.) PLoS Computational Biology, 16 (6), e1007417. doi:10.1371/journal.pcbi.1007417
Evolutionary Approach of Clustering to Optimize Hydrological Simulations
Azmi, E.; Strobl, M.; Pruijssen, R. van; Ehret, U.; Meyer, J.; Streit, A.
2020. Computational Science and Its Applications – ICCSA 2020 – 20th International Conference, Cagliari, Italy, July 1–4, 2020, Proceedings, Part I. Ed.: O. Gervasi, 617–633, Springer. doi:10.1007/978-3-030-58799-4_45
DNS-studies on flame front markers for turbulent premixed combustion
Schieβl R.; Denev, J. A.
2020. Combustion theory and modelling, 24 (6), 983–1001. doi:10.1080/13647830.2020.1800102
Multiprecision Block-Jacobi for iterative triangular solves
Goebel, F.; Anzt, H.; Cojean, T.; Flegar, G.; Quintana-Ortí, E. S.
2020. Lecture notes in computer science, 546–560, Springer. doi:10.1007/978-3-030-57675-2_34
Annotationen und ihre infrastrukturellen Prämissen
Hegel, P.; Götzelmann, G.; Krewet, M.; Tonne, D.
2020. Digital Humanities Austria 2018 : Empowering Researchers. Hrsg.: M. Ernst, 150–153, Austrian Academy of Sciences Press. doi:10.1553/dha-proceedings2018s1
Volltexte – die Zukunft alter Drucke: Bericht zum Abschlussworkshop des OCR-D-Projekts
Engl, E.; Boenig, M.; Baierer, K.; Hartmann, V.; Neudecker, C.
2020. O-bib, 7 (2), 1–4. doi:10.5282/O-BIB/5600
Projecting ozone hole recovery using an ensemble of chemistry–climate models weighted by model performance and independence
Amos, M.; Young, P. J.; Hosking, J. S.; Lamarque, J.-F.; Abraham, N. L.; Akiyoshi, H.; Archibald, A. T.; Bekki, S.; Deushi, M.; Jöckel, P.; Kinnison, D.; Kirner, O.; Kunze, M.; Marchand, M.; Plummer, D. A.; u. a.
2020. Atmospheric chemistry and physics, 20 (16), 9961–9977. doi:10.5194/acp-20-9961-2020
A low-rank method for two-dimensional time-dependent radiation transport calculations
Peng, Z.; McClarren, R. G.; Frank, M.
2020. Journal of computational physics, 421, Art.-Nr.: 109735. doi:10.1016/j.jcp.2020.109735
Federation of compute resources available to the German CMS community
Cube, R. F. von; Giffels, M.; Heidecker, C.; Quast, G.; Sauter, M. B.; Schnepf, M. J.
2020. Journal of physics / Conference series, 1525 (1), Art. Nr.: 012055. doi:10.1088/1742-6596/1525/1/012055
Boosting Performance of Data-intensive Analysis Workflows with Distributed Coordinated Caching
Heidecker, C.; Cube, R. F. von; Giffels, M.; Quast, G.; Sauter, M.; Schnepf, M. J.
2020. Journal of physics / Conference series, 1525 (1), Art. Nr.: 012065. doi:10.1088/1742-6596/1525/1/012065
HEP Analyses on Dynamically Allocated Opportunistic Computing Resources
Schnepf, M. J.; Cube, R. F. von; Heidecker, C.; Fischer, M.; Giffels, M.; Kuehn, E.; Heiss, A.; Petzold, A.; Quast, G.; Sauter, M.
2020. Journal of physics / Conference series, 1525 (1), Art. Nr.: 012067. doi:10.1088/1742-6596/1525/1/012067
Pax6 organizes the anterior eye segment by guiding two distinct neural crest waves
Takamiya, M.; Stegmaier, J.; Kobitski, A. Y.; Schott, B.; Weger, B. D.; Margariti, D.; Cereceda Delgado, A. R.; Gourain, V.; Scherr, T.; Yang, L.; Sorge, S.; Otte, J. C.; Hartmann, V.; Wezel, J. van; Stotzka, R.; u. a.
2020. PLoS Genetics, 16 (6), Art. Nr.: e1008774. doi:10.1371/journal.pgen.1008774
An environment for sustainable research software in Germany and beyond: current state, open challenges, and call for action
Anzt, H.; Bach, F.; Druskat, S.; Löffler, F.; Loewe, A.; Renard, B. Y.; Seemann, G.; Struck, A.; Achhammer, E.; Aggarwal, P.; Appel, F.; Bader, M.; Brusch, L.; Busse, C.; Chourdakis, G.; u. a.
2020. F1000Research, 9, Article no: 295. doi:10.12688/f1000research.23224.1
Evaluating DCA-based method performances for RNA contact prediction by a well-curated data set
Pucci, F.; Zerihun, M. B.; Peter, E. K.; Schug, A.
2020. RNA, 26 (7), 794–802. doi:10.1261/rna.073809.119
Pcdh18a regulates endocytosis of E-cadherin during axial mesoderm development in zebrafish
Bosze, B.; Ono, Y.; Mattes, B.; Sinner, C.; Gourain, V.; Thumberger, T.; Tlili, S.; Wittbrodt, J.; Saunders, T. E.; Strähle, U.; Schug, A.; Scholpp, S.
2020. Histochemistry and cell biology, 154, 463–480. doi:10.1007/s00418-020-01887-5
Massively Parallel Stencil Strategies for Radiation Transport Moment Model Simulations
Berghoff, M.; Frank, M.; Seibold, B.
2020. Computational Science – ICCS 2020 : 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020. Proceedings. Part 7. Ed.: V. Krzhizhanovskaya, 242–256, Springer Nature. doi:10.1007/978-3-030-50436-6_18
Load-balancing Sparse Matrix Vector Product Kernels on GPUs
Anzt, H.; Cojean, T.; Yen-Chen, C.; Dongarra, J.; Flegar, G.; Nayak, P.; Tomov, S.; Tsai, Y. M.; Wang, W.
2020. ACM Transactions on Parallel Computing, 7 (1), Article: 2. doi:10.1145/3380930
Acceleration of PageRank with Customized Precision Based on Mantissa Segmentation
Grützmacher, T.; Cojean, T.; Flegar, G.; Anzt, H.; Quintana-Ortí, E. S.
2020. ACM Transactions on Parallel Computing, 7 (1), Article: 4. doi:10.1145/3380934
pydca v1.0: a comprehensive software for direct coupling analysis of RNA and protein sequences
Zerihun, M. B.; Pucci, F.; Peter, E. K.; Schug, A.
2020. Bioinformatics, 36 (7), 2264–2265. doi:10.1093/bioinformatics/btz892
Alea – Complex Job Scheduling Simulator
Klusáček, D.; Soysal, M.; Suter, F.
2020. Parallel Processing and Applied Mathematics - 13th International Conference, PPAM 2019, Bialystok, Poland, September 8–11, 2019, Revised Selected Papers, Part II. Hrsg.: R. Wyrzykowski, 217–229, Springer International Publishing. doi:10.1007/978-3-030-43222-5_19
Filtered stochastic Galerkin methods for hyperbolic equations
Kusch, J.; McClarren, R. G.; Frank, M.
2020. Journal of computational physics, 403, Article No.109073. doi:10.1016/j.jcp.2019.109073
Quasi-DNS Dataset of a Piloted Flame with Inhomogeneous Inlet Conditions
Zirwes, T.; Zhang, F.; Habisreuther, P.; Hansinger, M.; Bockhorn, H.; Pfitzner, M.; Trimis, D.
2020. Flow, turbulence and combustion, 104, 997–1027. doi:10.1007/s10494-019-00081-5
A structured approach to the construction of stable linear Lattice Boltzmann collision operator
Otte, P.; Frank, M.
2020. Computers and mathematics with applications, 79 (5), 1447–1460. doi:10.1016/j.camwa.2019.09.009
Belle II pixel detector: Performance of final DEPFET modules
Paschen, B.; Abudinen, F.; Ackermann, K.; Ahlburg, P.; Albalawi, M.; Alonso, O.; Andricek, L.; Ayad, R.; Babu, V.; Bai, Y.; Bilka, T.; Blanco, R.; Boronat, M.; Bozek, A.; Camien, C.; u. a.
2020. (Collaboration, PXD, Hrsg.) Nuclear instruments & methods in physics research / A, 958, Article No.162222. doi:10.1016/j.nima.2019.05.063
2019
diSTruct v1.0: generating biomolecular structures from distance constraints
Taubert, O.; Reinartz, I.; Meyerhenke, H.; Schug, A.
2019. Bioinformatics, 35 (24), 5337–5338. doi:10.1093/bioinformatics/btz578
Muster Richtlinie Nachhaltige Forschungssoftware an den Helmholtz Zentren
Bach, F.; Bertuch, O.; Busse, C.; Castell, W. zu; Celo, S.; Denker, M.; Dinkelacker, S.; Druskat, S.; Faber, C.; Finke, A.; Fritzsch, B.; Hammitzsch, M.; Haseleu, J.; Konrad, U.; Krupa, J.; u. a.
2019
Massively Parallel Large-scale Multi-model Simulation of Tumor Development including Treatments
Berghoff, M.; Rosenbauer, J.; Schug, A.
2019, November 17. 5th Computational Approaches for Cancer Workshop (CAFCW19 2019), Denver, CO, USA, 17. November 2019
The NAStJA Framework and the Design for High-performance Computing Applications
Berghoff, M.
2019, November 15. 9th Mid-Atlantic Numerical Analysis Day (2019), Philadelphia, PA, USA, 15. November 2019
AARC Blueprint Architecture 2019
Hardt, M.; Liampotis, N.; Stevanovic, U.; Salle, M.; Kanellopoulos Christos; Jensen, J.; Memon, S.; Groep, D.; Linden, M.; Paetow, S.
2019. Zenodo. doi:10.5281/zenodo.3672785
Central limit theorems for multilevel Monte Carlo methods
Hoel, H.; Krumscheid, S.
2019. Journal of Complexity, 54, Art.-Nr.: 101407. doi:10.1016/j.jco.2019.05.001
An adaptive quadrature-based moment closure
Kusch, J.; Frank, M.
2019. International journal of advances in engineering sciences and applied mathematics, 11 (3), 174–186. doi:10.1007/s12572-019-00252-7
Impact of Combustion Modeling on the Spectral Response of Heat Release in LES
Zhang, F.; Zirwes, T.; Habisreuther, P.; Bockhorn, H.; Trimis, D.; Nawroth, H.; Paschereit, C. O.
2019. Combustion science and technology, 191 (9), 1520–1540. doi:10.1080/00102202.2018.1558218
The NAStJA Framework and the Design of High-performance Application
Berghoff, M.
2019, August 29. GridKa School (2019), Karlsruhe, Deutschland, 26.–30. August 2019
On the Quality of Wall Time Estimates for Resource Allocation Prediction
Soysal, M.; Berghoff, M.; Klusáček, D.; Streit, A.
2019, August 5. 15th International Workshop on Scheduling and Resource Management for Parallel and Distributed Systems in conjunction with International Conference on Parallel Processing (ICPP) (SRMPDS 2019), Kyōto, Japan, 5. August 2019
Using On-Demand File Systems in HPC Environments
Soysal, M.; Berghoff, M.; Zirwes, T.; Vef, M.-A.; Oeste, S.; Brinkmann, A.; Nagel, W. E.; Streit, A.
2019, Juli 17. 17th International Conference on High Performance Computing & Simulation (HPCS 2019), Dublin, Irland, 15.–19. Juli 2019
Aspekte digitaler Infrastrukturen : Forschungsdaten im Sonderforschungsbereich 980 „Episteme in Bewegung“: Herausforderungen und Perspektiven
Götzelmann, G.; Hegel, P.; Krewet, M.; Söring, S.; Tonne, D.
2019. Bibliothek Forschung und Praxis, 43 (2), 324–331. doi:10.1515/bfp-2019-2055
Multiscale Modeling: Tumor Development
Rosenbauer, J.; Berghoff, M.; Schug, A.
2019, Juni 20. 3rd ISC Workshops - ISC High Performance (2019), Frankfurt am Main, Deutschland, 16.–20. Juni 2019
Simulation and Analysis of Protein-Fluorophore Systems for Comparison with Fluorescence Spectroscopy Data. Dissertation
Reinartz, I.
2019, Juni 11. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000095718
Rootless Containers with Udocker
Gomes, J.; David, M.; Martins, J. P.; Pina, J.; Campos, I.; López Garcia, A.; Orviz, P.; Kozlov, V.
2019, Juni. ISC High Performance (2019), Frankfurt am Main, Deutschland, 16.–20. Juni 2019
DEEP: Hybrid Approach for Deep Learning
Alic, A. S.; Antonacci, M.; Caballer, M.; Campos, I.; Costantini, A.; David, M.; Dlugolinsky, S.; Donvito, G.; Duma, C.; Gomes, J.; Hardt, M.; Heredia, I.; Hluchy, L.; Ito, K.; Kozlov, V.; u. a.
2019, Juni. ISC High Performance (2019), Frankfurt am Main, Deutschland, 16.–20. Juni 2019
Wie gelingt digitalisierte Forschung? Neues Open Source ELN für die Wissenschaft
Jung, N.; Tremouilhac, P.; Bach, F.; Kramer, C.; Bräse, S.; Ottleben, I.
2019. Labor-Praxis
Quantifying uncertainties in contact mechanics of rough surfaces using the multilevel Monte Carlo method
Rey, V.; Krumscheid, S.; Nobile, F.
2019. International Journal of Engineering Science, 138, 50–64. doi:10.1016/j.ijengsci.2019.02.003
Numerical prediction of air-assisted primary atomization using Smoothed Particle Hydrodynamics
Braun, S.; Wieth, L.; Holz, S.; Dauch, T. F.; Keller, M. C.; Chaussonnet, G.; Gepperth, S.; Koch, R.; Bauer, H.-J.
2019. International journal of multiphase flow, 114, 303–315. doi:10.1016/j.ijmultiphaseflow.2019.03.008
Adaptive precision in block-Jacobi preconditioning for iterative sparse linear system solvers
Anzt, H.; Dongarra, J.; Flegar, G.; Higham, N. J.; Quintana-Ortí, E. S.
2019. Concurrency and computation, 31 (6), e4460. doi:10.1002/cpe.4460
Large Scale Simulations of Cell Resolved Tissue by a Cellular Potts Model
Rosenbauer, J.; Berghoff, M.; Schug, A.
2019, März. 63rd Annual Meeting of the Biophysical Society (BPS 2019), Baltimore, MD, USA, 2.–6. März 2019
MITK-ModelFit: A generic open-source framework for model fits and their exploration in medical imaging–design, implementation and application on the example of DCE-MRI
Debus, C.; Floca, R.; Ingrisch, M.; Kompan, I.; Maier-Hein, K.; Abdollahi, A.; Nolden, M.
2019. BMC bioinformatics, 20 (1), Artkl.Nr.: 31. doi:10.1186/s12859-018-2588-1
Aristoteles auf Reisen : Handschriftenforschung in der digitalen Infrastruktur des SFB 980 „Episteme in Bewegung“
Krewet, M.; Hegel, P.; Götzelmann, G.; Tonne, D.; Söring, S.
2019. Forschungsinfrastrukturen in den digitalen Geisteswissenschaften : Wie verändern digitale Infrastrukturen die Praxis der Geisteswissenschaften? Hrsg.: M. Huber, 77–87, DFG
OCR-D: An end-to-end open source OCR framework for historical printed documents
Neudecker, C.; Baierer, K.; Federbusch, M.; Boenig, M.; Würzner, K.-M.; Hartmann, V.; Herrmann, E.
2019. EuropeanaTech Insight, 13
German-Russian astroparticle data life cycle initiative
Haungs, A.; Bychkov, I.; Dubenskaya, J.; Fedorov, O.; Heiss, A.; Kang, D.; Kazarina, Y.; Korosteleva, E.; Kostunin, D.; Kryukov, A.; Mikhailov, A.; Nguyen, M.-D.; Polgart, F.; Polyakov, S.; Postnikov, E.; u. a.
2019. 36th International Cosmic Ray Conference (ICRC 2019), Madison, WI, USA, 24.07.2019 – 01.08.2019. doi:10.22323/1.358.0284
Adoption of ARC-CE and HTCondor at GridKa Tier 1
Fischer, M.; Kuehn, E.; Schnepf, M.; Petzold, A.; Heiss, A.
2019. The European physical journal / Web of Conferences, 214, Art.-Nr.: 03053. doi:10.1051/epjconf/201921403053
Einblicke in die Klimaforschung – Perspektiven eines computergestützten mathematischen Projekttages für Oberstufenschüler/innen
Hattebuhr, M.; Frank, M.
2019. ISTRON-Tagung (2019), Berlin, Deutschland, 28. September 2019
Computergestützte mathematische Workshops für Oberstufenschüler/innen zum Thema Klimawandel
Hattebuhr, M.; Frank, M.
2019. IPCC Jahrestagung (2019), Nauen, Deutschland, 20.–21. März 2019
Complex modeling: Does climate change really exist? – Perspectives of a project day with high school students
Hattebuhr, M.; Frank, M.
2019. 11th Congress of the European Society for Researchin Mathematics Education
Parallel selection on GPUs
Ribizel, T.; Anzt, H.
2019. Parallel computing, 91, Article: 102588. doi:10.1016/j.parco.2019.102588
A Positive Asymptotic-Preserving Scheme for Linear Kinetic Transport Equations
Laiu, M. P.; Frank, M.; Hauck, C. D.
2019. SIAM journal on scientific computing, 41 (3), A1500–A1526. doi:10.1137/18M1196297
Dynamic Integration and Management of Opportunistic Resources for HEP
Schnepf, M. J.; Cube, R. F. von; Fischer, M.; Giffels, M.; Heidecker, C.; Heiss, A.; Kuehn, E.; Petzold, A.; Quast, G.; Sauter, M.
2019. The European physical journal / Web of Conferences, 214, 08009. doi:10.1051/epjconf/201921408009
Advancing throughput of HEP analysis work-flows using caching concepts
Caspart, R.; Fischer, M.; Giffels, M.; Heidecker, C.; Kühn, E.; Quast, G.; Sauter, M.; Schnepf, M. J.; Cube, R. F. von
2019. The European physical journal / Web of Conferences, 214, Article no: 04007. doi:10.1051/epjconf/201921404007
Massively Parallel Large-scale Multi-model Simulation of Tumor Development
Berghoff, M.; Rosenbauer, J.; Schug, A.
2019. The International Conference for High Performance Computing, Networking, Storage, and Analysis (2019), Denver, CO, USA, 17.–22. November 2019
Book of Abstracts: Sixth bwHPC Symposium, 30 September 2019, Karlsruhe, Germany
Denev, J.; Barthel, R.; Frank, M. (Hrsg.)
2019. Karlsruher Institut für Technologie (KIT)
A low-rank method for time-dependent transport calculations
Peng, Z.; McClarren, R. G.; Frank, M.
2019. International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C), Portland, OR, August 25-29, 2019, 957–966, American Nuclear Society (ANS)
Ray-effect mitigation for the discrete ordinates method using artificial scattering
Camminady, T.; Frank, M.; Hauck, C. D.; Kusch, J.
2019. International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C), Portland, OR, August 25-29, 2019, 459–466, American Nuclear Society (ANS)
Highly uniform quadrature sets for the discrete ordinates method
Camminady, T.; Frank, M.; Kusch, J.
2019. International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C), Portland, OR, August 25-29, 2019, 449–458, American Nuclear Society (ANS)
Intrusive uncertainty quantification for applications in fluid dynamics
Kusch, J.; Wolters, J.; Frank, M.
2019. International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C), Portland, OR, August 25-29, 2019, 1918–1927, American Nuclear Society (ANS)
Benchmarking Deep Learning Infrastructures by Means of TensorFlow and Containers
Grupp, A.; Kozlov, V.; Campos, I.; David, M.; Gomes, J.; López García, Á.
2019. High Performance Computing : ISC High Performance 2019 International Workshops, Frankfurt, Germany, June 16-20, 2019. Ed.: M. Weiland, 478–489, Springer International Publishing. doi:10.1007/978-3-030-34356-9_36
ParILUT - A parallel threshold ILU for GPUS
Anzt, H.; Ribizel, T.; Flegar, G.; Chow, E.; Dongarra, J.
2019. Proceedings 2019 IEEE 33rd International Parallel and Distributed Processing Symposium, IPDPS 2019: 20-24 May 2019, Rio de Janeiro, Brazil, 231–241, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IPDPS.2019.00033
Inter-model comparison of global hydroxyl radical (OH) distributions and their impact on atmospheric methane over the 2000-2016 period
Zhao, Y.; Saunois, M.; Bousquet, P.; Lin, X.; Berchet, A.; Hegglin, M. I.; Canadell, J. G.; Jackson, R. B.; Hauglustaine, D. A.; Szopa, S.; Stavert, A. R.; Abraham, N. L.; Archibald, A. T.; Bekki, S.; Deushi, M.; u. a.
2019. Atmospheric chemistry and physics, 19 (21), 13701–13723. doi:10.5194/acp-19-13701-2019
PAPI software-defined events for in-depth performance analysis
Jagode, H.; Danalis, A.; Anzt, H.; Dongarra, J.
2019. The international journal of high performance computing applications, 33 (6), 1113–1127. doi:10.1177/1094342019846287
Data Encoding in Lossless Prediction-Based Compression Algorithms
Cayoglu, U.; Tristram, F.; Meyer, J.; Schröter, J.; Kerzenmacher, T.; Braesicke, P.; Streit, A.
2019. IEEE 15th International Conference on eScience : 24-27 September 2019, San Diego, California : proceedings. Ed.: Ilkay Altintas, 226–234, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/eScience.2019.00032
On Advancement of Information Spaces to Improve Prediction-Based Compression
Cayoglu, U.; Tristram, F.; Meyer, J.; Kerzenmacher, T.; Braesicke, P.; Streit, A.
2019. INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft Hrsg.: K. David, 271–272, Gesellschaft für Informatik (GI). doi:10.18420/inf2019_39
Enlargement of Submicron Gas‐Borne Particles by Heterogeneous Condensation for Energy‐Efficient Aerosol Separation
Hamberger, P.; Koch, D. P.; Sinanis, S.; Schaber, K.
2019. Chemical engineering & technology, 42 (11), 2458–2464. doi:10.1002/ceat.201800720
Application of Mixtures of Gaussians for Tracking Clusters in Spatio-temporal Data
Ertl, B.; Meyer, J.; Streit, A.; Schneider, M.
2019. Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, September 17-19, 2019, in Vienna, Austria, Vol. 1. Ed.: A. Fred, 45–54, SciTePress. doi:10.5220/0007949700450054
Algorithm Selection in Auction-based Allocation of Cloud Computing Resources. Dissertation
Gudu, D.
2019. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000098816
Portfolio optimization and model predictive control: A kinetic approach
Trimborn, T.; Pareschi, L.; Frank, M.
2019. Discrete and continuous dynamical systems / B, 24 (11), 6209–6238. doi:10.3934/dcdsb.2019136
Numerical and Experimental Investigations of Primary Breakup of High-Viscous Fluid at Elevated Pressure [in press]
Zhang, F.; Zirwes, T.; Wachter, S.; Jakobs, T.; Habisreuther, P.; Zarzalis, N.; Dimosthenis, T.; Kolb, T.
2019. 29th European Conference on Liquid Atomization and Spray Systems, Paris, 2-4 Sep 2019
Federated Identity Management for Research
WISE SCI Working Group; Barton, T.; Gietz, P.; Kelsey, D.; Koranda, S.; Short, H.; Stevanovic, U.
2019. (A. Forti, L. Betev, M. Litmaath, O. Smirnova & P. Hristov, Hrsg.) The European physical journal / Web of Conferences, 214, Art.Nr.: 03044. doi:10.1051/epjconf/201921403044
The effect of atmospheric nudging on the stratospheric residual circulation in chemistry–climate models
Chrysanthou, A.; Maycock, A. C.; Chipperfield, M. P.; Dhomse, S.; Garny, H.; Kinnison, D.; Akiyoshi, H.; Deushi, M.; Garcia, R. R.; Jöckel, P.; Kirner, O.; Pitari, G.; Plummer, D. A.; Revell, L.; Rozanov, E.; u. a.
2019. Atmospheric chemistry and physics, 19 (17), 11559–11586. doi:10.5194/acp-19-11559-2019
Next Generation of HEP CPU Benchmarks
Giordano, D.; Alef, M.; Michelotto, M.
2019. The European physical journal / Web of Conferences, 214, Article no: 08011. doi:10.1051/epjconf/201921408011
Optimization of robust aiming strategies in solar tower power plants
Richter, P.; Kepp, F.; Büsing, C.; Kuhnke, S.
2019. SolarPACES 2018. Ed.: C. Richter, 030045, American Institute of Physics (AIP). doi:10.1063/1.5117557
Are we doing the right thing? - A critical analysis of the academic HPC community
Anzt, H.; Flegar, G.
2019. 2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 739–745, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IPDPSW.2019.00122
Approximate and exact selection on GPUs
Ribizel, T.; Anzt, H.
2019. 2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 471–478, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IPDPSW.2019.00088
Clear-sky ultraviolet radiation modelling using output from the Chemistry Climate Model Initiative
Lamy, K.; Portafaix, T.; Josse, B.; Brogniez, C.; Godin-Beekmann, S.; Bencherif, H.; Revell, L.; Akiyoshi, H.; Bekki, S.; Hegglin, M. I.; Jöckel, P.; Kirner, O.; Liley, B.; Marecal, V.; Morgenstern, O.; u. a.
2019. Atmospheric chemistry and physics, 19 (15), 10087–10110. doi:10.5194/acp-19-10087-2019
Unsteady pure straining effects on lean premixed flames of different Lewis numbers
Denev, J. A.; Naydenova, I.; Zhang, F.; Zirwes, T.; Bockhorn, H.
2019. 9th European Combustion Meeting (ECM), Lissabon, Portugal, 14 - 17 April 2019
2D and 3D numerical simulation of chemiluminescent radical concentrations during side-wall quenching of premixed methane and propane flames [in press]
Zirwes, T.; Häber, T.; Zhang, F.; Kosaka, H.; Bockhorn, H.; Suntz, R.; Dreizler, A.; Janicka, J.
2019. 9th European Combustion Meeting (ECM), Lissabon, Portugal, 14 - 17 April 2019
Numerical simulation of sulfur combustors with high-power-density [in press]
Zhang, F.; Heidarifatasmi, H.; Zirwes, T.; Fedoryk, M.; Harth, S.; Sebbar, N.; Habisreuther, P.; Trimis, D.; Bockhorn, H.
2019. 9th European Combustion Meeting (ECM), Lissabon, Portugal, 14 - 17 April 2019
Numerical Simulation of Turbulent Flame Propagation in a Fan-Stirred Combustion Bomb at Elevated Pressures [in press]
Zhang, F.; Zirwes, T.; Habisreuther, P.; Zarzalis, N.; Bockhorn, H.; Trimis, D.
2019. 27th International Colloquium on the Dynamics of Explosions and Reactive Systems, Beijing, China, 8th July - 2nd August 2019
Properties of Z±c(3900) produced in p¯p collisions
D0 Collaboration; Abazov, V. M.; Abbott, B.; Acharya, B. S.; Adams, M.; Adams, T.; Agnew, J. P.; Alexeev, G. D.; Alkhazov, G.; Alton, A.; Askew, A.; Atkins, S.; Augsten, K.; Aushev, V.; Aushev, Y.; u. a.
2019. Physical review / D, 100 (1), 012005. doi:10.1103/PhysRevD.100.012005
Clustering as Approximation Method to Optimize Hydrological Simulations
Azmi, E.; Ehret, U.; Meyer, J.; Pruijssen, R. van; Streit, A.; Strobl, M.
2019. Euro-Par 2019: Parallel Processing – 25th International Conference on Parallel and Distributed Computing, Göttingen, Germany, August 26–30, 2019, Proceedings. Ed.: R. Yahyapour. Ed.: R. Yahyapour, 256–269, Springer International Publishing. doi:10.1007/978-3-030-29400-7_19
Large-Scale Quasi-DNS of Mixed-Mode Turbulent Combustion [in press]
Zirwes, T.; Zhang, F.; Habisreuther, P.; Bockhorn, H.; Trimis, D.
2019. 90th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), Vienna, Austria, February 18-22, 1019. Ed.: J. Eberhardsteiner, TU Verlag
Ignition behaviour of sulfur in air based on modified reaction kinetics [in press]
Zirwes, T.; Sebbar, N.; Habisreuther, P.; Harth, S.; Zhang, F.; Bockhorn, H.; Trimis, D.
2019. 11th Mediterranean Combustion Symposium (MCS11), Tenerife, Spain, 16-20 June 2019
Research Data Repository Interoperability WG Final Recommendations
Jejkal, T.; Wilcox, D.
2019. Research Data Alliance (RDA). doi:10.15497/RDA00025
Identification of evolutionary and kinetic drivers of NAD-dependent signaling
Bockwoldt, M.; Houry, D.; Niere, M.; Gossmann, T. I.; Reinartz, I.; Schug, A.; Ziegler, M.; Heiland, I.
2019. Proceedings of the National Academy of Sciences of the United States of America, 116 (32), 15957–15966. doi:10.1073/pnas.1902346116
Close Nozzle Spray Characteristics of a Prefilming Airblast Atomizer
Holz, S.; Braun, S.; Chaussonnet, G.; Koch, R.; Bauer, H.-J.
2019. Energies, 12 (14), 2835. doi:10.3390/en12142835
Large-Scale Quasi-DNS of Mixed-Mode Turbulent Combustion
Zirwes, T.; Zhang, F.; Denev, J. A.; Habisreuther, P.; Bockhorn, H.; Trimis, D.
2019. 90th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM 2019), Wien, Österreich, 18.–22. Februar 2019
2D and 3D numerical simulation of chemiluminescent radical concentrations during side-wall quenching of premixed methane and propane flames
Zirwes, T.; Häber, T.; Zhang, F.; Kosaka, H.; Bockhorn, H.; Suntz, R.; Dreizler, A.; Janicka, J.
2019. 9th European Combustion Meeting (ECM 2019), Lissabon, Portugal, 14.–17. April 2019
Numerical simulation of sulfur combustors with high-power-density
Zhang, F.; Heidarifatasmi, H.; Zirwes, T.; Fedoryk, M.; Harth, S.; Sebbar, N.; Habisreuther, P.; Trimis, D.; Bockhorn, H.
2019. 9th European Combustion Meeting (ECM 2019), Lissabon, Portugal, 14.–17. April 2019
Unsteady pure straining effects on lean premixed flames of different Lewis numbers
Denev, J. A.; Naydenova, I.; Zhang, F.; Zirwes, T.; Bockhorn, H.
2019. 9th European Combustion Meeting (ECM 2019), Lissabon, Portugal, 14.–17. April 2019
Entwicklung von Schwefelbrennern mit hohen Leistungsdichten
Fedoryk, M.; Zhang, F.; Heidarifatasmi, H.; Zirwes, T.; Sebbar, N.; Harth, S.; Trimis, D.
2019. Jahrestreffen der ProcessNet-Fachgruppe "Hochtemperaturtechnik" (2019), Karlsruhe, Deutschland, 2.–3. April 2019
LES of Combustion Noise from a Turbulent Premixed Jet Flame
Zhang, F.; Zirwes, T.; Habisreuther, P.; Bockhorn, H.; Trimis, D.
2019. 17th International Conference on Numerical Combustion (2019), Aachen, Deutschland, 6.–8. Mai 2019
Spectral response of heat release in LES combustion modeling
Zhang, F.; Zirwes, T.; Habisreuther, P.; Bockhorn, H.; Trimis, D.
2019. 17th International Conference on Numerical Combustion (2019), Aachen, Deutschland, 6.–8. Mai 2019
Implementation of Flame Particle Tracking for Studying Laminar and Turbulent Flame Dynamics
Zirwes, T.; Zhang, F.; Habisreuther, P.; Denev, J. A.; Bockhorn, H.; Trimis, D.
2019. 17th International Conference on Numerical Combustion (2019), Aachen, Deutschland, 6.–8. Mai 2019
Numerical Simulation of Turbulent Flame Propagation in a Fan-Stirred Combustion Bomb at Elevated Pressures
Zhang, F.; Zirwes, T.; Habisreuther, P.; Zarzalis, N.; Bockhorn, H.; Trimis, D.
2019. 27th International Colloquium on the Dynamics of Explosions and Reactive Systems (ICDERS 2019), Peking, China, 28. Juli–2. August 2019
Numerical and Experimental Investigations of Primary Breakup of High-Viscous Fluid at Elevated Pressure
Zhang, F.; Zirwes, T.; Wachter, S.; Jakobs, T.; Habisreuther, P.; Zarzalis, N.; Trimis, D.; Kolb, T.
2019. 29th European Conference Liquid Atomization & Spray Systems (ILASS 2019), Paris, Frankreich, 2.–4. September 2019
Numerische Untersuchung eines Schwefelverbrennungssystem
Zhang, F.; Heidarifatasmi, H.; Harth, S.; Zirwes, T.; Sebbar, N.; Fedoryk, M.; Trimis, D.
2019. 29. Deutscher Flammentag (2019), Bochum, Deutschland, 17.–18. September 2019
Effect of elevated pressure on primary jet-breakup: Basic research for entrained flow gasification
Zhang, F.; Müller, T.; Zirwes, T.; Wachter, S.; Jakobs, T.; Habisreuther, P.; Zarzalis, N.; Trimis, D.; Kolb, T.
2019. 29. Deutscher Flammentag (2019), Bochum, Deutschland, 17.–18. September 2019
Identification of Flame Regimes in Partially Premixed Combustion from a Quasi-DNS Dataset [in press]
Zirwes, T.; Zhang, F.; Hansinger, M.; Bockhorn, H.; Pfitzner, M.; Trimis, D.
2019. International Workshop on Clean Combustion: Principles and Applications (2019), Darmstadt, Deutschland, 25.–26. September 2019
Improved Vectorization for Efficient Chemistry Computations in OpenFOAM for Large Scale Combustion Simulations
Zirwes, T.; Zhang, F.; Denev, J. A.; Habisreuther, P.; Bockhorn, H.; Trimis, D.
2019. High Performance Computing in Science and Engineering ’18 - Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2018. Ed.: W. E. Nagel, 209–224, Springer International Publishing
SABCEMM: A Simulator for Agent-Based Computational Economic Market Models
Trimborn, T.; Otte, P.; Cramer, S.; Beikirch, M.; Pabich, E.; Frank, M.
2019. Computational economics. doi:10.1007/s10614-019-09910-1
On the Quality of Wall Time Estimates for Resource Allocation Prediction
Soysal, M.; Berghoff, M.; Klusáček, D.; Streit, A.
2019. ICPP 2019 Proceedings of the 48th International Conference on Parallel Processing: Workshops, Kyoto, Japan — August 05 - 08, 2019, Artikel Nr.: 23 /1–8, Association for Computing Machinery (ACM). doi:10.1145/3339186.3339204
Change in Flame Geometry of an Ethanol Spray Flame by Varying the Spray Characteristics
Galeazzo, F. C. C.; Fukumasu, N. K.; Denev, J. A.; Weis, C.; Habisreuther, P.; Krieger Filho, G. C.
2019. Combustion science and technology, 191 (9), 1693–1710. doi:10.1080/00102202.2019.1639682
Unusual chlorine partitioning in the 2015/16 Arctic winter lowermost stratosphere: Observations and simulations
Johansson, S.; Santee, M. L.; Grooß, J.-U.; Höpfner, M.; Braun, M.; Friedl-Vallon, F.; Khosrawi, F.; Kirner, O.; Kretschmer, E.; Oelhaf, H.; Orphal, J.; Sinnhuber, B.-M.; Tritscher, I.; Ungermann, J.; Walker, K. A.; u. a.
2019. Atmospheric chemistry and physics, 19 (12), 8311–8338. doi:10.5194/acp-19-8311-2019
Theorien von Autorschaft und Stil in Bewegung: Stilistik und Stilometrie in der Romania
Rißler-Pipka, N. (Hrsg.)
2019. Akademische Verlagsgemeinschaft
Einleitung
Rißler-Pipka, N.
2019. Romanische Studien - Beihefte, 6, 5–19
In Search of a New Language: Measuring Style of Góngora and Picasso
Rißler-Pipka, N.
2019. Romanische Studien - Beihefte, 6, 117–149
Tools for Analyzing Parallel I/O
Kunkel, J. M.; Betke, E.; Bryson, M.; Carns, P.; Francis, R.; Frings, W.; Laifer, R.; Mendez, S.
2019. International Conference on High Performance Computing, ISC High Performance 2018; Frankfurt; Germany; 28 June 2018 through 28 June 2018. Ed.: M. Weiland, 49–70, Springer. doi:10.1007/978-3-030-02465-9_4
Rising Up: Hierarchical Metal–Organic Frameworks in Experiments and Simulations
Luo, Y.; Ahmad, M.; Schug, A.; Tsotsalas, M.
2019. Advanced materials, 31 (26), Art.-Nr.: 1901744. doi:10.1002/adma.201901744
Using On-demand File Systems in HPC Environments
Soysal, M.; Berghoff, M.; Zirwes, T.; Vef, M.-A.; Oeste, S.; Brinkman, A.; Nagel, W. E.; Streit, A.
2019. The 17th Annual Meeting of the 2019 International Conference on High Performance Computing & Simulation (HPCS 2019), Dublin, IR, July 15-19, 2019. doi:10.1109/HPCS48598.2019.9188216
Toward a modular precision ecosystem for high-performance computing
Anzt, H.; Flegar, G.; Grützmacher, T.; Quintana-Ortí, E. S.
2019. The international journal of high performance computing applications, 33 (6), 1069–1078. doi:10.1177/1094342019846547
Labelling OCR Ground Truth for Usage in Repositories
Boenig, M.; Baierer, K.; Hartmann, V.; Federbusch, M.; Neudecker, C.
2019. Proceedings of the 3rd International Conference on Digital Access to Textual Cultural Heritage (DATeCH2019), 3–8, Association for Computing Machinery (ACM). doi:10.1145/3322905.3322916
OCR-D: An end-to-end open source OCR framework for historical printed documents
Neudecker, C.; Baierer, K.; Federbusch, M.; Boenig, M.; Würzner, K.-M.; Hartmann, V.; Herrmann, E.
2019. Proceedings of the 3rd International Conference on Digital Access to Textual Cultural Heritage (DATeCH2019), 53–58, Association for Computing Machinery (ACM). doi:10.1145/3322905.3322917
Machine learning-aided numerical linear Algebra: Convolutional neural networks for the efficient preconditioner generation
Götz, M.; Anzt, H.
2019. Proceedings of ScalA 2018: 9th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, 49–56, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ScalA.2018.00010
High-Performance GPU Implementation of PageRank with Reduced Precision Based on Mantissa Segmentation
Grützmacher, T.; Anzt, H.; Scheidegger, F.; Quintana-Orti, E. S.
2019. Proceedings of IA³ 2018: 8th Workshop on Irregular Applications: Architectures and Algorithms, 61–68, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IA3.2018.00015
Variable-Size Batched Condition Number Calculation on GPUs
Anzt, H.; Dongarra, J.; Flegar, G.; Grützmacher, T.
2019. 2018 30th International Symposium on Computer Architecture and High Performance Computing: SBAC-PAD 2018 ; Lyon, France, 24-27 September 2018 ; Proceedings, 132–139, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CAHPC.2018.8645907
A Jaccard Weights Kernel Leveraging Independent Thread Scheduling on GPUs
Anzt, H.; Dongarra, J.
2019. 2018 30th International Symposium on Computer Architecture and High Performance Computing: SBAC-PAD 2018 ; Lyon, France, 24-27 September 2018 ; Proceedings, 229–232, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CAHPC.2018.8645946
Ein Web Annotation Protocol Server zur Untersuchung vormoderner Wissensbestände
Tonne, D.; Götzelmann, G.; Hegel, P.; Krewet, M.; Hübner, J.; Söring, S.; Löffler, A.; Hitzker, M.; Höfler, M.; Schmidt, T.
2019. DHd 2019 Digital Humanities: multimedial & multimodal. Konferenzabstracts. Hrsg.: Patrick Sahle, 283–285, Zenodo
Zeitungen und Zeitschriften als multimodale, digitale Forschungsobjekte: Theorien und Methoden
Rißler-Pipka, N.; Neudecker, C.; Resch, C.; Kampkaspar, D.; Lehmann, J.; Herzgsell, T.
2019. DHd 2019 Digital Humanities: multimedial & multimodal. Konferenzabstracts. Hrsg.: P. Sahle, 77–81
L’esthétique numérique de Picasso
Rißler-Pipka, N.
2019. Philologie im Netz, 2019 (16), 39–59
Rapid interpretation of small-angle X-ray scattering data
Weiel, M.; Reinartz, I.; Schug, A.
2019. PLoS Computational Biology, 15 (3), e1006900. doi:10.1371/journal.pcbi.1006900
Wie sich die Bilder gleichen. Bildähnlichkeitssuche in Drucken des 16. Jahrhunderts
Götzelmann, G.
2019. DHd 2019 Digital Humanities: multimedial & multimodal. Konferenzabstracts. Hrsg.: Patrick Sahle, 358–359, Zenodo
Extreme Data Workshop 2018 Forschungszentrum Jülich, 18 – 19 September 2018 Proceedings
Schultz, M.; Pleiter, D.; Bauer, P. (Hrsg.)
2019. Forschungszentrum Jülich
Remote Sensing Data Analytics with the Udocker Container Tool using Multi-GPU Deep Learning Systems
Cavallaro, G.; Kozlov, V.; Götz, M.; Riedel, M.
2019. Proceedings of 2019 Big Data from Space (BiDS’19). Ed.: S. Pierre, 177–180. doi:10.2760/848593
Implementers Guide to the WISE Baseline Acceptable Use Policy
WISE SCI Working Group; Groep, D.; Neilson, I.; Hardt, M.; Stevanovic, U.
2019. doi:10.5445/IR/1000093121
Maximum-principle-satisfying second-order Intrusive Polynomial Moment scheme
Kusch, J.; Alldredge, G. W.; Frank, M.
2019. SMAI Journal of Computational Mathematics, 5, 23–51. doi:10.5802/smai-jcm.42
Procedures for systematic capture and management of analytical data in academia
Potthoff, J.; Tremouilhac, P.; Hodapp, P.; Neumair, B.; Bräse, S.; Jung, N.
2019. Analytica Chimica Acta: X, 1, Article: 100007. doi:10.1016/j.acax.2019.100007
Potential Arctic cirrus cloud feedbacks on the composition of te UTLS
Haenel, F.; Woiwode, W.; Höpfner, M.; Ruhnke, R.; Khosrawi, F.; Kirner, O.; Friedl-Vallon, F.; Johansson, S.; Kleinert, A.; Schröter, J.; Sinnhuber, B.-M.
2019. DPG-Frühjahrstagung der Sektion Materie und Kosmos (SMuK), Fachverband Umweltphysik (2019), München, Deutschland, 17.–22. März 2019
Ray effect mitigation for the discrete ordinates method through quadrature rotation
Camminady, T.; Frank, M.; Küpper, K.; Kusch, J.
2019. Journal of computational physics, 382, 105–123. doi:10.1016/j.jcp.2019.01.016
On Using Clustering for the Optimization of Hydrological Simulations
Azmi, E.
2019. IEEE International Conference on Data Mining Workshops(ICDMW), Singapore, November 17 - 20 2018, 1495–1496, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICDMW.2018.00215
A unified comparative study of heuristic algorithms for double combinatorial auctions: Locality-constrained resource allocation problems
Gudu, D.; Hardt, M.; Streit, A.
2019. Agents and Artificial Intelligence: 10th International Conference, ICAART 2018, Funchal, Madeira, Portugal, January 16-18,2018. Revised Selected Papers., 3–22. doi:10.1007/978-3-030-05453-3_1
The GridKa Tape System: status and outlook
Ressmann, D.; Lobontu, D.; Beitzinger, M.; Schäfer, K.; Heiss, A.; Petzold, A.; Musheghyan, H.
2019. The European physical journal / Web of Conferences, 214, Art. Nr.: 04029. doi:10.1051/epjconf/201921404029
Concept and Analysis of Information Spaces to improve Prediction-Based Compression
Cayoglu, U.; Tristram, F.; Meyer, J.; Kerzenmacher, T.; Braesicke, P.; Streit, A.
2019. 2018 IEEE International Conference on Big Data (Big Data), Seattle, WA, December 10 - 13, 2018. Ed.: Y. Song, 3392–3401, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/BigData.2018.8622313
Ignition of combustible mixtures by hot particles at varying relative speeds
Zirwes, T.; Zhang, F.; Häber, T.; Bockhorn, H.
2019. Combustion science and technology, 191 (1), 178–195. doi:10.1080/00102202.2018.1435530
2018
Feasibility and robustness of dynamic 18F-FET PET based tracer kinetic models applied to patients with recurrent high-grade glioma prior to carbon ion irradiation
Debus, C.; Afshar-Oromieh, A.; Floca, R.; Ingrisch, M.; Knoll, M.; Debus, J.; Haberkorn, U.; Abdollahi, A.
2018. Scientific Reports, 8 (1), Artkl.Nr.: 14760. doi:10.1038/s41598-018-33034-5
Impact of 18F-FET PET on Target Volume Definition and Tumor Progression of Recurrent High Grade Glioma Treated with Carbon-Ion Radiotherapy
Debus, C.; Waltenberger, M.; Floca, R.; Afshar-Oromieh, A.; Bougatf, N.; Adeberg, S.; Heiland, S.; Bendszus, M.; Wick, W.; Rieken, S.; Haberkorn, U.; Debus, J.; Knoll, M.; Abdollahi, A.
2018. Scientific Reports, 8 (1), Artkl.Nr.: 7201. doi:10.1038/s41598-018-25350-7
On approximative linear Boltzmann transport equation for charged particles
Tervo, J.; Kokkonen, P.; Frank, M.; Herty, M.
2018. Mathematical models and methods in applied sciences (M 3 AS), 28 (14), 2905–2939. doi:10.1142/S0218202518500641
Stratospheric ozone loss over the Eurasian continent induced by the polar vortex shift
Zhang, J.; Tian, W.; Xie, F.; Chipperfield, M. P.; Feng, W.; Son, S.-W.; Abraham, N. L.; Archibald, A. T.; Bekki, S.; Butchart, N.; Deushi, M.; Dhomse, S.; Han, Y.; Jöckel, P.; Kinnison, D.; u. a.
2018. Nature Communications, 9 (1), 206. doi:10.1038/s41467-017-02565-2
Guidelines for Secure Operation of Attribute Authorities and other issuers of access-granting statements
Groep, D. L.; Kelsey, D.; Short, H.; Sallé, M.; Stevanovic, U.; Paetow, S.; Kremers, M.
2018. Zenodo. doi:10.5281/zenodo.3234926
Non-Collective Scalable Global Network Based on Local Communications
Berghoff, M.; Kondov, I.
2018, November 12. 9th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA 2018), Dallas, TX, USA, 11.–16. November 2018
The NAStJA Framework: Non-Collective Scalable Global Communications
Berghoff, M.; Kondov, I.
2018, November. International Conference for High Performance Computing, Networking, Storage, and Analysis (SC 2018), Dallas, TX, USA, 11.–16. November 2018
A comparative study of limiting strategies in discontinuous Galerkin schemes for the model of radiation transport
Chidyagwai, P.; Frank, M.; Schneider, F.; Seibold, B.
2018. Journal of computational and applied mathematics, 342, 399–418. doi:10.1016/j.cam.2018.04.017
Quantifying river incision into low-relief surfaces using local and catchment-wide 10Be denudation rates
Wolff, R.; Hetzel, R.; Strobl, M.
2018. Earth surface processes and landforms, 43 (11), 2327–2341. doi:10.1002/esp.4394
The NAStJA Framework - Efficient and Flexible
Berghoff, M.; Kondov, I.
2018, September. International Symposium on Computational Science at Scale (CoSaS 2018), Erlangen, Deutschland, 5.–7. September 2018
Formation of a Secretion-Competent Protein Complex by a Dynamic Wrap-around Binding Mechanism
Gupta, A. A.; Reinartz, I.; Karunanithy, G.; Spilotros, A.; Jonna, V. R.; Hofer, A.; Svergun, D. I.; Baldwin, A. J.; Schug, A.; Wolf-Watz, M.
2018. Journal of molecular biology, 430 (18), 3157–3169. doi:10.1016/j.jmb.2018.07.014
Perturbation-based inference for diffusion processes: Obtaining effective models from multiscale data
Krumscheid, S.
2018. Mathematical Models and Methods in Applied Sciences, 28 (08), 1565–1597. doi:10.1142/S0218202518500434
A new high-order fluid solver for tokamak edge plasma transport simulations based on a magnetic-field independent discretization
Giorgiani, G.; Camminady, T.; Bufferand, H.; Ciraolo, G.; Ghendrih, P.; Guillard, H.; Heumann, H.; Nkonga, B.; Schwander, F.; Serre, E.; Tamain, P.
2018. Contributions to plasma physics, 58 (6-8), 688–695. doi:10.1002/ctpp.201700172
A simulation tool to predict spontaneous aerosol formation in gas-liquid contact devices
Hamberger, P.; Schaber, K.; Piccioni Koch, D.
2018, Juni 12. 32. Ausstellungstagung für chemisches Apparatewesen (ACHEMA 2018), Frankfurt am Main, Deutschland, 11.–15. Juni 2018
Sandboxing of biomedical applications in Linux containers based on system call evaluation
Witt, M.; Jansen, C.; Krefting, D.; Streit, A.
2018. Concurrency and computation, 30 (12), e4484. doi:10.1002/cpe.4484
Quasi-steady state reduction for the Michaelis–Menten reaction–diffusion system
Frank, M.; Lax, C.; Walcher, S.; Wittich, O.
2018. Journal of mathematical chemistry, 56 (6), 1759–1781. doi:10.1007/s10910-018-0891-8
Using Jacobi iterations and blocking for solving sparse triangular systems in incomplete factorization preconditioning
Chow, E.; Anzt, H.; Scott, J.; Dongarra, J.
2018. Journal of parallel and distributed computing, 119, 219–230. doi:10.1016/j.jpdc.2018.04.017
On existence of solutions for Boltzmann Continuous Slowing Down transport equation
Tervo, J.; Kokkonen, P.; Frank, M.; Herty, M.
2018. Journal of mathematical analysis and applications, 460 (1), 271–301. doi:10.1016/j.jmaa.2017.11.052
Simulation of FRET dyes allows quantitative comparison against experimental data
Reinartz, I.; Sinner, C.; Nettels, D.; Stucki-Buchli, B.; Stockmar, F.; Panek, P. T.; Jacob, C. R.; Nienhaus, G. U.; Schuler, B.; Schug, A.
2018. The journal of chemical physics, 148 (12), 123321. doi:10.1063/1.5010434
Cellular Potts Models for Neural Tissue Simulations
Rosenbauer, J.; Berghoff, M.; Schug, A.
2018, März 12. DPG-Frühjahrstagung und EPS-CMD27 (2018), Berlin, Deutschland, 11.–16. März 2018
Optimization and performance evaluation of the IDR iterative Krylov solver on GPUs
Anzt, H.; Kreutzer, M.; Ponce, E.; Peterson, G. D.; Wellein, G.; Dongarra, J.
2018. The international journal of high performance computing applications, 32 (2), 220–230. doi:10.1177/1094342016646844
Intrusive methods in uncertainty quantification and their connection to kinetic theory
Kusch, J.; Frank, M.
2018. International journal of advances in engineering sciences and applied mathematics, 10 (1), 54–69. doi:10.1007/s12572-018-0211-3
A spectral Galerkin method for the fractional order diffusion and wave equation
Camminady, T.; Frank, M.
2018. International journal of advances in engineering sciences and applied mathematics, 10 (1), 90–104. doi:10.1007/s12572-018-0208-y
P-PIF: a ProvONE provenance interoperability framework for analyzing heterogeneous workflow specifications and provenance traces
Prabhune, A.; Zweig, A.; Stotzka, R.; Hesser, J.; Gertz, M.
2018. Distributed and parallel databases, 36 (1), 219–264. doi:10.1007/s10619-017-7216-y
A non-noble Cr–Ni-based catalyst for the oxygen reduction reaction in alkaline polymer electrolyte fuel cells
Faubert, P.; Kondov, I.; Qazzazie, D.; Yurchenko, O.; Müller, C.
2018. MRS communications, 8 (01), 160–167. doi:10.1557/mrc.2018.13
Weiterentwicklung eines Simulationsmodells zur Beschreibung der Aerosolbildung in Gaswäschern
Hamberger, P.; Schaber, K.; Piccioni Koch, D.
2018, Februar 20. Jahrestreffen der ProcessNet-Fachgruppe Gasreinigung und des TAK Aerosoltechnik (2018), Erlangen, Deutschland, 19.–20. Februar 2018
SSAGES : Software Suite for Advanced General Ensemble Simulations
Sidky, H.; Colón, Y. J.; Helfferich, J.; Sikora, B. J.; Bezik, C.; Chu, W.; Giberti, F.; Guo, A. Z.; Jiang, X.; Lequieu, J.; Li, J.; Moller, J.; Quevillon, M. J.; Rahimi, M.; Ramezani-Dakhel, H.; u. a.
2018. The journal of chemical physics, 148 (4), Art.Nr. 044104. doi:10.1063/1.5008853
Multilevel Monte Carlo Approximation of Functions
Krumscheid, S.; Nobile, F.
2018. SIAM/ASA Journal on Uncertainty Quantification, 6 (3), 1256–1293. doi:10.1137/17M1135566
Operational experience and commissioning of the Belle II vertex detector
Schwenker, B.; Abudinén, F.; Ackermann, K.; Ahlburg, P.; Aihara, H.; Albalawi, M.; Alonso, O.; Andricek, L.; Ayad, R.; Aziz, T.; Babu, V.; Bacher, S.; Bahinipati, S.; Bai, Y.; Barberio, E.; u. a.
2018. Collaborations, SVD (Hrsg.), 27th International Workshop on Vertex Detectors (VERTEX 2018), Chennai, IND, October 22-28, 2018, Scuola Internazionale Superiore di Studi Avanzati (SISSA)
La prima infrastruttura di data management per le nanoscienze
Aversa, R.; Cozzini, S.
2018. Conferenza GARR 2018 - Data (R)evolution - Selected Papers, Cagliari, Italy, 3-5 ottobre 2018, 26–29, Consortium GARR. doi:10.26314/GARR-Conf18-proceedings-04
D9.8: Final Report on Provision of Staging Support
Krauß, P.; Jankowski, M.; Kennedy, J. A.
2018. The EUDAT2020 Consortium. doi:10.5445/IR/1000096018
Analysis of Job Metadata for Enhanced Wall Time Prediction
Soysal, M.; Berghoff, M.; Streit, A.
2018. JSSPP (2018), Vancouver, Kanada, 21.–25. Mai 2018
Batch Job Scheduling Using Enhanced Walltime Prediction
Klusáček, D.; Soysal, M.
2018. CGW Workshop ’18 (CGW’18), Kraków, PL, 22-24 October 2018, AGH
Komplexe Modellierung: Trump gegen die Wissenschaft – Gibt es den Klimawandel wirklich?
Hattebuhr, M.; Frank, M.; Roeckerath, C.
2018. Beiträge zum Mathematikunterricht 2018. Bd.4, 731–734, WTM Verlag für wissenschaftliche Texte und Medien
Federated Identity Management for Research Collaborations
Atherton, C. J.; Barton, T.; Basney, J.; Broeder, D.; Costa, A.; Daalen, M. van; Dyke, S.; Elbers, W.; Enell, C.-F.; Fasanelli, E. M. V.; Fernandes, J.; Florio, L.; Gietz, P.; Groep, D. L.; Junker, M. B.; u. a.
2018. doi:10.5281/zenodo.1307551
Komplexe Modellierung: Wie funktionieren eigentlich Animationsfilme und was hat das mit Mathe zu tun?
Wohak, K.; Frank, M.; Roeckerath, C.
2018. Beiträge zum Mathematikunterricht 2018. Bd.4, 2023–2026, WTM Verlag für wissenschaftliche Texte und Medien
Komplexe Modellierung: Wie funktionieren eigentlich Animationsfilme und was hat das mit Mathe zu tun?
Wohak, K.; Frank, M.; Roeckerath, C.
2018. 3. Gemeinsame Jahrestagung der Deutschen Mathematiker-Vereinigung (DMV) und der Gesellschaft für Didaktik der Mathematik (GDM 2018), Paderborn, Deutschland, 5.–9. März 2018
Efficient ray-tracing with real weather data
Richter, P.; Tinnes, J.; Schwarzbözl, P.; Rong, A.; Frank, M.
2018. SolarPACES 2017 : International Conference on Concentrating Solar Power and Chemical Energy Systems. Ed.: R. Mancilla, 210014, American Institute of Physics (AIP). doi:10.1063/1.5067216
SunFlower: A new solar tower simulation method for use in field layout optimization
Richter, P.; Heiming, G.; Lukas, N.; Frank, M.
2018. SolarPACES 2017 : International Conference on Concentrating Solar Power and Chemical Energy Systems. Ed.: R. Mancilla, 210015, American Institute of Physics (AIP). doi:10.1063/1.5067217
Towards reduction of computational cost for large-scale combustion modelling with a multi-regional concept
Zhang, F.; Zirwes, T.; Habisreuther, P.; Bockhorn, H.
2018. Progress in computational fluid dynamics, 18 (6), 333–346. doi:10.1504/PCFD.2018.096616
Towards HS17
Alef, M.
2018. GDB (2018), Genf, Schweiz, 12. Juni 2018
Summary pre-GDB - CPU Benchmarking WG
Alef, M.; Giordano, D.; Michelotto, M.
2018. GDB (2018), Genf, Schweiz, 13. Juni 2018
CPU Benchmarking WG - activities and plans
Alef, M.; Giordano, D.; Michelotto, M.
2018. GDB (2018), Genf, Schweiz, 18. Juli 2018
CPU Benchmarking WG - activities and plans
Alef, M.; Giordano, D.; Michelotto, M.
2018. WLCG-MB (2018), Genf, Schweiz, 17. Juli 2018
Benchmarking Working Group - A status report
Alef, M.; Giordano, D.; Michelotto, M.
2018. HEPiX Spring Workshop (2018), Madison, WI, USA, 14.–18. Mai 2018
Benchmarking Update Oct 2018
Alef, M.; Giordano, D.; Michelotto, M.
2018. HEPiX Autumn/Fall Workshop (2018), Barcelona, Spanien, 8.–12. Oktober 2018
The Helmholtz Analytics Toolkit (HEAT): A scientific Big Data Library for HPC
Krajsek, K.; Comito, C.; Götz, M.; Hagemeier, B.; Knechtges, P.; Siggel, M.
2018. Proceedings of the Extreme Data Workshop 2018
OIDC-Agent: Managing OpenID Connect Tokens on the Command Line
Zachmann, G.
2018. Lecture Notes in Informatics (LNI) - Seminars 14, 11–21
Grab, Grabmal
Götzelmann, G.
2018. Literarische Orte in deutschsprachigen Erzählungen des Mittelalters – Ein Handbuch. Ed.: T. Renz, 199–208, De Gruyter
A Modular Software Framework for Compression of Structured Climate Data
Cayoglu, U.; Schröter, J.; Meyer, J.; Streit, A.; Braesicke, P.
2018. Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL 2018, Seattle, WA, November 06-09, 2018, 556–559, Association for Computing Machinery (ACM). doi:10.1145/3274895.3274897
Mastering Opportunistic Computing Resources for HEP
Schnepf, M. J.; Heidecker, C.; Fischer, M.; Giffels, M.; Kuehn, E.; Heiss, A.; Petzold, A.; Quast, G.
2018. Journal of physics / Conference Series, 1085 (3), Art. Nr.: 032056. doi:10.1088/1742-6596/1085/3/032056
Provisioning of data locality for HEP analysis workflows
Heidecker, C.; Schnepf, M. J.; Kuehn, E.; Fischer, M.; Giffels, M.; Quast, G.
2018. Journal of physics / Conference Series, 1085 (3), Art. Nr.: 032005. doi:10.1088/1742-6596/1085/3/032005
Non-Collective Scalable Global Network Based on Local Communications
Berghoff, M.; Kondov, I.
2018. 9th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA), Dallas, TX, USA, November 12, 2018, 25–32, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ScalA.2018.00007
Case study of ozone anomalies over northern Russia in the 2015/2016 winter: measurements and numerical modelling
Timofeyev, Y. M.; Smyshlyaev, S. P.; Virolainen, Y. A.; Garkusha, A. S.; Polyakov, A. V.; Motsakov, M. A.; Kirner, O.
2018. Annales geophysicae, 36 (6), 1495–1505. doi:10.5194/angeo-36-1495-2018
Machine learning-aided numerical linear algebra: Convolutional neural network for the efficient preconditioner generation
Götz, M.; Anzt, H.
2018. ScalA18: 9th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, Dallas, TX, November 12, 2018
Evidence for Zc±(3900) in semi-inclusive decays of b-flavored hadrons
D0 Collaboration; Abazov, V. M.; Abbott, B.; Acharya, B. S.; Adams, M.; Adams, T.; Agnew, J. P.; Alexeev, G. D.; Alkhazov, G.; Alton, A.; Askew, A.; Atkins, S.; Augsten, K.; Aushev, V.; Aushev, Y.; u. a.
2018. Physical review / D, 98 (5), 052010–1. doi:10.1103/PhysRevD.98.052010
Optimized Chemistry and Detailed Transport for Massively Parallel Simulations of Turbulent Combustion with OpenFOAM
Zirwes, T.; Zhang, F.; Denev, J. A.; Habisreuther, P.; Bockhorn, H.; Trimis, D.
2018. The 13th OpenFOAM Workshop (OFW13), Shanghai, China, June 24-29 2018. Ed.: J. Wang
Investigation of S2 + Air Combustion
Sebbar, N.; Zirwes, T.; Habisreuther, P.; Bockhorn, H.; Trimis, D.
2018. Proceedings of Joint Meeting of the German and Italian Sections of the Combustion Institute, Sorrento, Italy, May 23-26, 2018. Ed.: H. Bockhorn, VI10, Associazione Sezione Italiana del Combustion Institute (ASICI)
ICON-ART 2.1: a flexible tracer framework and its application for composition studies in numerical weather forecasting and climate simulations
Schröter, J.; Rieger, D.; Stassen, C.; Vogel, H.; Weimer, M.; Werchner, S.; Förstner, J.; Prill, F.; Reinert, D.; Zängl, G.; Giorgetta, M.; Ruhnke, R.; Vogel, B.; Braesicke, P.
2018. Geoscientific model development, 11 (10), 4043–4068. doi:10.5194/gmd-11-4043-2018
Revisiting the Mystery of Recent Stratospheric Temperature Trends
Maycock, A. C.; Randel, W. J.; Steiner, A. K.; Karpechko, A. Y.; Christy, J.; Saunders, R.; Thompson, D. W. J.; Zou, C.-Z.; Chrysanthou, A.; Luke Abraham, N.; Akiyoshi, H.; Archibald, A. T.; Butchart, N.; Chipperfield, M.; Dameris, M.; u. a.
2018. Geophysical research letters. doi:10.1029/2018GL078035
Evaluation of MUSICA IASI tropospheric water vapour profiles using theoretical error assessments and comparisons to GRUAN Vaisala RS92 measurements
Borger, C.; Schneider, M.; Ertl, B.; Hase, F.; García, O. E.; Sommer, M.; Höpfner, M.; Tjemkes, S. A.; Calbet, X.
2018. Atmospheric measurement techniques, 11 (9), 4981–5006. doi:10.5194/amt-11-4981-2018
Juan Gris: Retrato de Picasso (1912)
Rißler-Pipka, N.
2018. Meisterwerke der spanischen Malerei in Einzeldarstellungen. Hrsg.: R. Junkerjürgen, 309–322, Erich Schmidt Verlag GmbH & Co. KG (ESV)
Combinatorial Auction Algorithm Selection for Cloud Resource Allocation Using Machine Learning
Gudu, D.; Hardt, M.; Streit, A.
2018. Euro-Par 2018: Parallel Processing. Proceedings ot the 24th International Conference on Parallel and Distributed Computing, Turin, I, August 27 - 31, 2018, Ed.: M. Aldinucci, 378–391, Springer International Publishing. doi:10.1007/978-3-319-96983-1_27
Polar Stratospheric Clouds in ICON-ART
Weimer, M.; Kirner, O.; Ruhnke, R.; Braesicke, P.
2018. 20th EGU General Assembly, Geophysical Research Abstracts (2018), Wien, Österreich, 8.–13. April 2018
The influence of different greenhouse gases to future stratospheric and mesospheric ozone in EMAC
Kirner, O.
2018. 20th EGU General Assembly, Geophysical Research Abstracts (2018), Wien, Österreich, 8.–13. April 2018
The Key Role of Hydrogen in CO2 Emission Reduction
Piccioni Koch, D.
2018. 3rd International Conference on New Energy and Future Energy System (NEFES 2018), Shanghai, China, 21.–24. August 2018
Using the Computer as a wet Lab: From Biomolecular Simulations to Simulating Tissue Development
Schug, A.
2018. GridKA School 2018, Karlsruhe, August 27 - 31, 2018
Biomolecular Simulations for Structural Biology: Integrating Co-Evolution
Schug, A.
2018. Seminarvortrag, Technische Universität Braunschweig, 8. Mai 2018
Biomolecular Simulations as a Toolkit for Structural Biology
Schug, A.
2018. Seminarvortrag, Heidelberg, March 29, 2018
Regulation and inference in biological networks
Schug, A.
2018. Bardonecchia workshop, Februar 2018
Statistical Methods in Biological Physics
Schug, A.
2018. Deutsche Physikalische Gesellschaft, Berlin, Germany, Februar 2018
Optimizing Load Balancing of Reacting Flow Solvers in OpenFOAM for High Performance Computing
Zirwes, T.; Zhang, F.; Habisreuther, P.; Denev, J. A.; Bockhorn, H.; Trimis, D.
2018. 6th ESI OpenFOAM User Conference 2018, Hamburg, 23.-25. Oktober 2018, 1–13, ESI Group
Analysis of Job Metadata for Enhanced Wall Time Prediction
Soysal, M.; Berghoff, M.; Streit, A.
2018. Job Scheduling Strategies for Parallel Processing : 22nd International Workshop, JSSPP 2018, Vancouver, BC, Canada, May 25, 2018, Revised Selected Papers. Ed.: Dalibor Klusáček, 14 S., Springer. doi:10.1007/978-3-030-10632-4_1
Improved Vectorization for Efficient Chemistry Computations in OpenFOAM for Large Scale Combustion Simulations
Zirwes, T.; Zhang, F.; Denev, J. A.; Habisreuther, P.; Bockhorn, H.; Trimis, D.
2018. High Performance Computing in Science & Engineering : 21th Results and Review Workshop of the HLRS, Stuttgart, October 4-5, 2018
Spectral response of different combustion models in LES of direct combustion noise
Zhang, F.; Zirwes, T.; Nawroth, H.; Li, N.; Habisreuther, P.; Bockhorn, H.; Trimis, D.; Paschereit, C. O.
2018. Joint Meeting of the German and Italian Sections of the Combustion Institute (2018), Sorrent, Italien, 23.–26. Mai 2018
Large Eddy Simulation of Turbulent Flow in a Fan-stirred Combustion Vessel
Zhang, F.; Zirwes, T.; Habisreuther, P.; Zarzalis, N.; Trimis, D.; Bockhorn, H.
2018. Joint Meeting of the German and Italian Sections of the Combustion Institute (2018), Sorrent, Italien, 23.–26. Mai 2018
Investigation of S₂ + Air combustion
Sebbar, N.; Zirwes, T.; Habisreuther, P.; Bockhorn, H.; Trimis, D.
2018. Joint Meeting of the German and Italian Sections of the Combustion Institute (2018), Sorrent, Italien, 23.–26. Mai 2018
Change in flame geometry of an ethanol spray flame by varying the injection frequency
Galeazzo, F. C. C.; Fukumasu, N. K.; Denev, J. A.; Krieger Filho, G. C.
2018. Joint Meeting of the German and Italian Sections of the Combustion Institute (2018), Sorrent, Italien, 23.–26. Mai 2018
Change in flame geometry of an ethanol spray flame by varying the injection frequency
Galeazzo, F. C. C.; Fukumasu, N. K.; Denev, J. A.; Krieger Filho, G. C.
2018. Joint Meeting German and Italian Sections of the Combustion Institute, 41st Meeting of the Italian Section of The Combustion Institute, Sorrento, I, May 23-26, 2018. Proceedings. Ed.: H. Bockhorn, Article VIII2, ASICI
Detailed Transport and Performance Optimization for Massively Parallel Simulations of Turbulent Combustion with OpenFOAM
Zirwes, T.; Zhang, F.; Denev, J. A.; Habisreuther, P.; Bockhorn, H.; Trimis, D.
2018. The 13th OpenFOAM Workshop (OFW13), Shanghai, China, June 24-29, 2018. Ed.: J. Wang, 142–145, CMHL
Spectral response of different combustion models in LES of direct combustion noise
Zhang, F.; Zirwes, T.; Nawroth, H.; Li, N.; Habisreuther, P.; Bockhorn, H.; Trimis, D.; Paschereit, C. O.
2018. Joint Meeting German and Italian Sections of the Combustion Institute, 41st Meeting of the Italian Section of The Combustion Institute, Sorrento, I, May 23-26, 2018. Proceedings. Ed.: H. Bockhorn, Article I8, ASICI
Large Eddy Simulation of Turbulent Flow in a Fan-stirred Combustion Vessel
Zhang, F.; Zirwes, T.; Habisreuther, P.; Zarzalis, N.; Trimis, D.; Bockhorn, H.
2018. Joint Meeting German and Italian Sections of the Combustion Institute, 41st Meeting of the Italian Section of The Combustion Institute, Sorrento, I, May 23-26, 2018. Proceedings. Ed.: H. Bockhorn, Article I10, ASICI
Investigation of S₂ + Air combustion
Sebbar, N.; Zirwes, T.; Habisreuther, P.; Bockhorn, H.; Trimis, D.
2018. Joint Meeting German and Italian Sections of the Combustion Institute, 41st Meeting of the Italian Section of The Combustion Institute, Sorrento, I, May 23-26, 2018. Proceedings. Ed.: H. Bockhorn, Article VI10, ASICI
S₂ + Air Combustion: Reaction Kinetics, Flame Structure, and Laminar Flame Behavior
Sebbar, N.; Zirwes, T.; Habisreuther, P.; Bozzelli, J. W.; Bockhorn, H.; Trimis, D.
2018. Energy & fuels, 32 (10), 10184–10193. doi:10.1021/acs.energyfuels.8b01019
Wnt/PCP controls spreading of Wnt/β-catenin signals by cytonemes in vertebrates
Mattes, B.; Dang, Y.; Greicius, G.; Kaufmann, L. T.; Prunsche, B.; Rosenbauer, J.; Stegmaier, J.; Mikut, R.; Özbek, S.; Nienhaus, G. U.; Schug, A.; Virshup, D. M.; Scholpp, S.
2018. eLife, 7, Article No. e36953. doi:10.7554/eLife.36953
The representation of solar cycle signals in stratospheric ozone – Part 2: Analysis of global models
Maycock, A. C.; Matthes, K.; Tegtmeier, S.; Schmidt, H.; Thiéblemont, R.; Hood, L.; Akiyoshi, H.; Bekki, S.; Deushi, M.; Jöckel, P.; Kirner, O.; Kunze, M.; Marchand, M.; Marsh, D. R.; Michou, M.; u. a.
2018. Atmospheric chemistry and physics, 18 (15), 11323–11343. doi:10.5194/acp-18-11323-2018
DEEP-HybridDataCloud
Donvito, G.; Gomes, J.; Ferrer, A. J.; Kozlov, V.; López Garcia, A.; Matyska, L.; Meyer, N.; Moltó, G.; Tran, V.; Castell, W. zu
2018. ISC High Performance, Frankfurt, June 24-28, 2018
INDIGO-DataCloud: a Platform to Facilitate Seamless Access to E-Infrastructures
Salomoni, D.; Campos, I.; Gaido, L.; Lucas, J. M. de; Solagna, P.; Gomes, J.; Matyska, L.; Fuhrman, P.; Hardt, M.; Donvito, G.; Dutka, L.; Plociennik, M.; Barbera, R.; Blanquer, I.; Ceccanti, A.; u. a.
2018. Journal of grid computing. doi:10.1007/s10723-018-9453-3
Fractional diffusion limits of non-classical transport equations
Frank, M.; Sun, W.
2018. Kinetic and related models, 11 (6), 1503–1526. doi:10.3934/krm.2018059
ParILUT---A New Parallel Threshold ILU Factorization
Anzt, H.; Chow, E.; Dongarra, J.
2018. SIAM journal on scientific computing, 40 (4), C503–C519. doi:10.1137/16M1079506
Comparison of ECHAM5/MESSy Atmospheric Chemistry (EMAC) simulations of the Arctic winter 2009/2010 and 2010/2011 with Envisat/MIPAS and Aura/MLS observations
Khosrawi, F.; Kirner, O.; Stiller, G.; Höpfner, M.; Santee, M. L.; Kellmann, S.; Braesicke, P.
2018. Atmospheric chemistry and physics, 18 (12), 8873–8892. doi:10.5194/acp-18-8873-2018
Estimates of ozone return dates from Chemistry-Climate Model Initiative simulations
Dhomse, S. S.; Kinnison, D.; Chipperfield, M. P.; Salawitch, R. J.; Cionni, I.; Hegglin, M. I.; Abraham, N. L.; Akiyoshi, H.; Archibald, A. T.; Bednarz, E. M.; Bekki, S.; Braesicke, P.; Butchart, N.; Dameris, M.; Deushi, M.; u. a.
2018. Atmospheric chemistry and physics, 18 (11), 8409–8438. doi:10.5194/acp-18-8409-2018
Approximate algorithms for double combinatorial auctions for resource allocation in clouds: An empirical comparison
Gudu, D. M.; Zachmann, G.; Hardt, M.; Streit, A.
2018. 10th International Conference on Agents and Artificial Intelligence, ICAART 2018; Funchal, Madeira; Portugal; 16 January 2018 through 18 January 2018. Ed.: J. van den Herik, 58–69, SciTePress. doi:10.5220/0006593900580069
User Storys von bwFDM-Communities
Tristram, F.; Bamberger, P.; Çayoğlu, U.; Hertzer, J.; Knopp, J.; Kratzke, J.; Rex, J.; Schwabe, F.; Shcherbakov, D.; Svoboda, D.-F.; Wehrle, D.
2018. doi:10.5445/IR/1000083274
Online Analysis of Dynamic Streaming Data. Dissertation
Kühn, E.
2018. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000083227
Validation of Atmospheric Numerical Models Based on Satellite Measurements of Ozone Columns
Virolainen, Y. A.; Timofeev, Y. M.; Berezin, I. A.; Smyshlyaev, S. P.; Motsakov, M. A.; Kirner, O.
2018. Russian meteorology and hydrology, 43 (3), 161–167. doi:10.3103/S1068373918030044
Mean field limit of a behavioral financial market model
Trimborn, T.; Frank, M.; Martin, S.
2018. Physica / A, 505, 613–631. doi:10.1016/j.physa.2018.03.079
Massively Parallel Stencil Code Solver with Autonomous Adaptive Block Distribution
Berghoff, M.; Kondov, I.; Hötzer, J.
2018. IEEE transactions on parallel and distributed systems, 29 (10), 2282–2296. doi:10.1109/TPDS.2018.2819672
Ozone Temporal Variability in the Subarctic Region: Comparison of Satellite Measurements with Numerical Simulations
Shved, G. M.; Virolainen, Y. A.; Timofeyev, Y. M.; Ermolenko, S. I.; Smyshlyaev, S. P.; Motsakov, M. A.; Kirner, O.
2018. Izvestiya / Atmospheric and oceanic physics, 54 (1), 32–38. doi:10.1134/S0001433817060111
Comparison of coevolutionary protein structure prediction methods
Franke, L.; Schug, A.
2018. DPG-Frühjahrstagung der Sektion Kondensierte Materie gemeinsam mit der EPS (2018), Berlin, Deutschland, 11.–16. März 2018
RNA structure prediction using evolutionary constraints
Zerihun, M. B.; Schug, A.
2018. DPG-Frühjahrstagung der Sektion Kondensierte Materie gemeinsam mit der EPS (2018), Berlin, Deutschland, 11.–16. März 2018
MaxEnt-stress graph drawing in protein structure determination
Taubert, O.; Schug, A.
2018. DPG-Frühjahrstagung der Sektion Kondensierte Materie gemeinsam mit der EPS (2018), Berlin, Deutschland, 11.–16. März 2018
De novo protein structure prediction by integration of coevolutionary data into replica exchange simulations
Voronin, A.; Schug, A.
2018. DPG-Frühjahrstagung der Sektion Kondensierte Materie gemeinsam mit der EPS (2018), Berlin, Deutschland, 11.–16. März 2018
Integration of SAXS data into biomolecular simulations
Weiel, M.; Reinartz, I.; Schug, A.
2018. DPG-Frühjahrstagung der Sektion Kondensierte Materie gemeinsam mit der EPS (2018), Berlin, Deutschland, 11.–16. März 2018
Simulation of FRET dyes allows direct comparison against experimental data
Reinartz, I.; Sinner, C.; Schug, A.
2018. DPG-Frühjahrstagung der Sektion Kondensierte Materie gemeinsam mit der EPS (2018), Berlin, Deutschland, 11.–16. März 2018
Variable-size batched Gauss–Jordan elimination for block-Jacobi preconditioning on graphics processors
Anzt, H.; Dongarra, J.; Flegar, G.; Quintana-Ortí, E. S.
2018. Parallel computing, 81, 131–146. doi:10.1016/j.parco.2017.12.006
An Adaptive Index Recommendation System (AIRs) on Document-Based Databases. Dissertation
Ameri, P.
2018. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000078779
Incomplete Sparse Approximate Inverses for Parallel Preconditioning
Anzt, H.; Huckle, T. K.; Bräckle, J.; Dongarra, J.
2018. Parallel computing, 71, 1–22. doi:10.1016/j.parco.2017.10.003
Automated Code Generation for Maximizing Performance of Detailed Chemistry Calculations in OpenFOAM
Zirwes, T.; Zhang, F.; Denev, J. A.; Habisreuther, P.; Bockhorn, H.
2018. High Performance Computing in Science and Engineering ’ 17 - Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2017. Ed.: W. Nagel, 189–204, Springer Verlag. doi:10.1007/978-3-319-68394-2_11
OpenGL® API Based Analysis of Large Datasets in a Cloud Environment
Mexner, W.; Bonn, M.; Kopmann, A.; Mauch, V.; Ressmann, D.; Chilingaryan, S.; Tan Jerome, N.; Kamp, T. Van de; Heuveline, V.; Lösel, P.; Schmelzle, S.; Heethoff, M.
2018. Design and Use of Virtualization Technology in Cloud Computing. Ed.: P. Kumar Das, 161–181, IGI Global. doi:10.4018/978-1-5225-2785-5.ch006
2017
E-Science-Tage 2017: Forschungsdaten managen
Kratzke, J.; Heuveline, V. (Hrsg.)
2017. Heidelberger E-Books (heiBOOKS). doi:10.11588/heibooks.285.377
Study of Ozone Layer Variability near St. Petersburg on the Basis of SBUV Satellite Measurements and Numerical Simulation (2000–2014)
Virolainen, Y. A.; Timofeyev, Y. M.; Smyshlyaev, S. P.; Motsakov, M. A.; Kirner, O.
2017. Izvestiya / Atmospheric and oceanic physics, 53 (9), 911–917. doi:10.1134/S0001433817090328
Computersimulationen und Supercomputer
Berghoff, M.
2017, November 15. Veranstaltungsreihe "Junge Talente – Wissenschaft und Musik", Karlsruhe, 27. September 2017
Denitrification, dehydration and ozone loss during the 2015/2016 Arctic winter
Khosrawi, F.; Kirner, O.; Sinnhuber, B.-M.; Johansson, S.; Höpfner, M.; Santee, M. L.; Froidevaux, L.; Ungermann, J.; Ruhnke, R.; Woiwode, W.; Oelhaf, H.; Braesicke, P.
2017. Atmospheric chemistry and physics, 17 (21), 12893–12910. doi:10.5194/acp-17-12893-2017
Preconditioned Krylov solvers on GPUs
Anzt, H.; Gates, M.; Dongarra, J.; Kreutzer, M.; Wellein, G.; Köhler, M.
2017. Parallel computing, 68 (October), 32–44. doi:10.1016/j.parco.2017.05.006
Opportunistic data locality for end user data analysis
Fischer, M.; Heidecker, C.; Kuehn, E.; Quast, G.; Giffels, M.; Schnepf, M.; Heiss, A.; Petzold, A.
2017. Journal of physics / Conference Series, 898 (Track 3), 052034. doi:10.1088/1742-6596/898/5/052034
The machine/job features mechanism
Alef, M.; Cass, T.; Keijser, J. J.; McNab, A.; Roiser, S.; Schwickerath, U.; Sfiligoi, I.
2017. Journal of physics / Conference Series, 898, Art.Nr. 092032. doi:10.1088/1742-6596/898/9/092032
Advancing data management and analysis in different scientific disciplines
Fischer, M.; Gasthuber, M.; Giesler, A.; Hardt, M.; Meyer, J.; Prabhune, A.; Rigoll, F.; Schwarz, K.; Streit, A.
2017. Journal of physics / Conference Series, 898 (8), Art.Nr. 082026. doi:10.1088/1742-6596/898/8/082026
Adaptive Lossy Compression of Complex Environmental Indices Using Seasonal Auto-Regressive Integrated Moving Average Models
Cayoglu, U.; Braesicke, P.; Kerzenmacher, T.; Meyer, J.; Streit, A.
2017. IEEE 13th International Conference on e-Science (e-Science), Auckland, NZ, October, 24-27, 2017, 315–324, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/eScience.2017.45
ADA-FS: Advanced Data Placement via Ad-hoc File Systems
Soysal, M.; Vef, M.-A.; Oeste, S.; Streit, A.; Brinkmann, A.; Kluge, M.
2017, Juni. ISC (2017), Frankfurt am Main, Deutschland, 18.–22. Juni 2017
V-FOR-WaTer - Virtuelle Forschungsumgebung für die Wasser- und terrestrische Umweltforschung
Azmi, E.; Hassler, S.; Mälicke, M.; Meyer, J.; Strobl, M.; Zehe, E.
2017. E-Science-Tage 2017: Forschungsdaten managen. Heidelberg University, Universtitätsbibliothek Heidelberg. doi:10.11588/heidok.00022889
Impact of fitting algorithms on errors of parameter estimates in dynamic contrast-enhanced MRI
Debus, C.; Floca, R.; Nörenberg, D.; Abdollahi, A.; Ingrisch, M.
2017. Physics in Medicine & Biology, 62 (24), 9322–9340. doi:10.1088/1361-6560/aa8989
A point kernel algorithm for microbeam radiation therapy
Debus, C.; Oelfke, U.; Bartzsch, S.
2017. Physics in Medicine & Biology, 62 (21), 8341–8359. doi:10.1088/1361-6560/aa8d63
Nonclassical particle transport in heterogeneous materials
Camminady, T.; Frank, M.; Larsen, E. W.
2017. M&C 2017 : International Conference on Mathematics & Computational Methods Applied to Nuclear Science & Engineering. USB
Guidelines for Credential Delegation
Hardt, M.; Stevanovic, U.
2017. GÉANT
AARC: First draft of the Blueprint Architecture for Authentication and Authorisation Infrastructures
Biancini, A.; Florio, L.; Haase, M.; Hardt, M.; Jankowski, M.; Jensen, J.; Kanellopoulos, C.; Liampotis, N.; Licehammer, S.; Memon, S.; Dijk, N. van; Paetow, S.; Prochazka, M.; Sallé, M.; Solagna, P.; u. a.
2017. arXiv [cs.CR] : Cryptography and Security, arXiv.1611.07832
Automatic Documentation of the Development of Numerical Models for Scientific Applications using Specific Revision Control
Zinner, M.; Rink, K.; Jäkel, R.; Feldhoff, K.; Grunzke, R.; Fischer, T.; Song, R.; Walther, M.; Jejkal, T.; Kolditz, O.; Nagel, W. E.
2017. Twelfth International Conference on Software Engineering Advances (ICSEA 2017), Athen, GR, October 8-12, 2017. Ed.: L. Lavazza, International Academy
Contribution of different PSC types to Arctic ozone depletion caused by chlorine activation and denitrification
Kirner, O.; Khosrawi, F.; Müller, R.; Weimer, M.; Ruhnke, R.
2017. 19th EGU General Assembly, EGU2017, Vienna, A, April 23-28,2017 in Vienna, A
Response of Local and Global Consumption Speed to Stretch in Laminar Steady-State Flames
Zirwes, T.; Zhang, F.; Denev, J. A.; Habisreuther, P.; Bockhorn, H.; Zarzalis, N.
2017. 8th European Combustion Meeting, Dubrovnik, HR, April 18-21, 2017
Direct numerical simulation of ignition by hot moving particles
Zirwes, T.; Zhang, F.; Häber, T.; Roth, D.; Bockhorn, H.
2017. 26th International Colloquium on the Dynamics of Explosions and Reactive System (ICDERS), Boston, MA, July 30 - August 4, 2017
Einfluss von erhöhtem Druck auf die Änderung der 549 Flammendynamik durch Streckung in vorgemischten Flammen
Zirwes, T.; Zhang, F.; Denev, J. A.; Habisreuther, P.; Bockhorn, H.; Zarzalis, N.
2017. 28. Deutscher Flammentag (2017), Darmstadt, Deutschland, 6.–7. September 2017
Einfluss von erhöhtem Druck auf die Änderung der 549 Flammendynamik durch Streckung in vorgemischten Flammen
Zirwes, T.; Zhang, F.; Denev, J. A.; Habisreuther, P.; Bockhorn, H.; Zarzalis, N.
2017. Verbrennung und Feuerung : 28. Deutscher Flammentag 2017, Darmstadt, Germany, 6th - 7th September 2017, 549–562, VDI Verlag
Direct numerical simulation of ignition by hot moving particles
Zirwes, T.; Zhang, F.; Häber, T.; Roth, D.; Bockhorn, H.
2017. 26th International Colloquium on the Dynamics of Explosions and Reactive System (ICDERS), Boston, MA, July 30 - August 4, 2017. Papers publ.online
Response of Local and Global Consumption Speed to Stretch in Laminar Steady-State Flames
Zirwes, T.; Zhang, F.; Denev, J. A.; Habisreuther, P.; Bockhorn, H.; Zarzalis, N.
2017. Proceedings of the 8th European Combustion Meeting, Dubrovnik, HR, April 18-21, 2017. Ed.: N. Duic
Scalable Negotiator for a Community Trust Framework in Federated Infrastructures (Snctfi)
Florio, L.; Groep, D. L.; Kanellopoulos, C.; Kelsey, D.; Linden, M.; Neilson, I.; Paetow, S.; Pempe, W.; Ribaillier, V.; Sallé, M.; Short, H.; Stevanovic, U.; Venekamp, G.
2017. Nikhef. doi:10.5281/zenodo.1173109
Coordinating Operational Security in evolving distributed IT-Infrastructures
Brillault, V.; Cornwall, L.; Dias, N.; Dussa, T.; Ferry, S.; Gabriel, S.; Groep, D.; Kelsey, D.; Kouril, D.; Krasovec, B.; Neilson, I.; Yarochkin, F.
2017. Global Challenges - From Open Data to Open Science : Proceedings of the International Symposium on Grids & Clouds 2017, ISGC 2017, Taipei, Taiwan, 5th - 10th March 2017
Local quasi-Monte Carlo exploration
Tessari, L.; Hanika, J.; Dachsbacher, C.
2017. EGSR 2017. 28th Eurographics Symposium on Rendering, Helsinki, FIN, June 19-21, 2017
Variable-Size Batched Gauss-Huard for Block-Jacobi Preconditioning
Anzt, H.; Dongarra, J.; Flegar, G.; Quintana-Ortí, E. S.; Tomás, A. E.
2017. Procedia computer science, 108, 1783–1792. doi:10.1016/j.procs.2017.05.186
Flexible batched sparse matrix-vector product on GPUs
Anzt, H.; Collins, G.; Dongarra, J.; Flegar, G.; Quintana-Ortí, E. S.
2017. the 8th Workshop, Denver, Colorado, 12–17 November 2017, 1–8, Association for Computing Machinery (ACM). doi:10.1145/3148226.3148230
A Global Network for Non-Collective Communication in Autonomous Systems
Berghoff, M.; Kondov, I.
2017. ICCS 2017, The International Conference on Computational Science, Zürich, Switzerland, 12th - 14th June 2017
Overcoming Load Imbalance for Irregular Sparse Matrices
Flegar, G.; Anzt, H.
2017. Proceedings of the 7th Workshop on Irregular Applications : Architectures and Algorithms, IA3’17, Denver, Colorado, USA, 12th - 17th November 2017, Art.Nr. 2, Association for Computing Machinery (ACM). doi:10.1145/3149704.3149767
The Swiss Army Knife of Job Submission Tools : Grid-control
Stober, F.; Fischer, M.; Schleper, P.; Stadie, H.; Garbers, C.; Lange, J.; Kovalchuk, N.
2017. Journal of physics / Conference Series, 898 (9), Art.Nr. 092052. doi:10.1088/1742-6596/898/9/092052
RootJS : Node.js Bindings for ROOT 6
Beffart, T.; Früh, M.; Haas, C.; Rajgopal, S.; Schwabe, J.; Wolff, C.; Szuba, M.
2017. Journal of physics / Conference Series, 898 (7), Art.Nr. 072028. doi:10.1088/1742-6596/898/7/072028
Vorwort der Herausgeber
Kratzke, J.; Heuveline, V.
2017. E-Science-Tage 2017: Forschungsdaten managen. Hrsg.: J. Kratzke, Heidelberger E-Books (heiBOOKS)
Erfassung und Speicherung von Forschungsdaten im Fachbereich Chemie: Bereitstellung moderner Forschungs-infrastrukturen durch ein elektronisches Laborjournal mit Repositorium-Anbindung
Jung, N.; Tremouilhac, P.; Kramer, C.; Potthoff, J.
2017. E-Science-Tage 2017: Forschungsdaten managen. Hrsg.: J. Kratzke, 127–136, Heidelberger E-Books (heiBOOKS)
Benchmarking Update
Alef, M.
2017. WLCG GDB, Genf, 13. December 2017
Diurnal variations of BrONO₂ observed by MIPAS-B at midlatitudes and in the Arctic
Wetzel, G.; Oelhaf, H.; Höpfner, M.; Friedl-Vallon, F.; Ebersoldt, A.; Gulde, T.; Kazarski, S.; Kirner, O.; Kleinert, A.; Maucher, G.; Nordmeyer, H.; Orphal, J.; Ruhnke, R.; Sinnhuber, B.-M.
2017. Atmospheric chemistry and physics, 17 (23), 14631–14643. doi:10.5194/acp-17-14631-2017
HEPiX Benchmarking Working Group - Status Report Oct 2017
Alef, M.; Giordano, D.; Michelotto, M.
2017. HEPiX Fall/Autumn 2017 Workshop, Tsukuba, Japan, 16-20 October 2017
Benchmarking Cloud Resources for HEP
Alef, M.; Cordeiro, C.; Salvo, A. de; Di Girolamo, A.; Field, L.; Giordano, D.; Guerri, M.; Schiavi, F. C.; Wiebalck, A.
2017. Journal of physics / Conference Series, 898. doi:10.1088/1742-6596/898/9/092056
Measurements of , , and spectra in proton-proton interactions at 20, 31, 40, 80 and 158 GeV/ with the NA61/SHINE spectrometer at the CERN SPS
NA61/SHINE Collaboration; Aduszkiewicz, A.; Ali, Y.; Andronov, E.; Antićić, T.; Baatar, B.; Baszczyk, M.; Bhosale, S.; Blondel, A.; Bogomilov, M.; Brandin, A.; Bravar, A.; Brzychczyk, J.; Bunyatov, S. A.; Busygina, O.; u. a.
2017. The European physical journal / C, 77 (10), Art.Nr. 671. doi:10.1140/epjc/s10052-017-5260-4
Competitive reactivity of nitrogen and oxygen with nickel when an argon/air mixture is used as sputtering gas
Poulopoulos, P.; Sousanis, A.; Zotos, K. C.; Papaefstathiou, N.; Grammatikopoulos, S.; Trachylis, D.; Schommers, W.; Meletis, E. I.; Politis, C.
2017. Journal of nanoscience and nanotechnology, 17 (12), 8842–8849. doi:10.1166/jnn.2017.15209
Maxent-stress optimization of 3D biomolecular models
Wegner, M.; Taubert, O.; Schug, A.; Meyerhenke, H.
2017. 25th European Symposium on Algorithms, Vienna, A, 4.- 6. September 2017, Art.Nr.: 70, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (LZI). doi:10.4230/LIPIcs.ESA.2017.70
Significance of Nanopatterned and Clustered DLL1 for Hematopoietic Stem Cell Proliferation
Winkler, A.-L.; Wulffen, J. von; Rödling, L.; Raic, A.; Reinartz, I.; Schug, A.; Gralla-Koser, R.; Geckle, U.; Welle, A.; Lee-Thedieck, C.
2017. Advanced functional materials, 27 (21), Art.Nr. 1606495. doi:10.1002/adfm.201606495
Burner design for an industrial furnace for thermal post-combustion
Denev, J. A.; Dinkov, I.; Bockhorn, H.
2017. Energy procedia, 120, 484–491. doi:10.1016/j.egypro.2017.07.171
Long-term Access to Data, Communities, Developments and Infrastructure
Van Wezel, J.; Bach, F.; Krauss, P.; Kurze, T.; Meyer, J.; Müller-Pfefferkorn, R.; Potthoff, J.
2017. Helmholtz Portfolio Theme Large-Scale Data Management and Analysis (LSDMA). Ed.: C. Jung, 125–140, KIT Scientific Publishing
Federated Storage Infrastructure for LSDMA
Ertl, B.; Fuhrmann, P.; Hardt, M.; Millar, P.; Mkrtchan, T.; Schwank, K.; Sahakya, M.; Wegh, B.
2017. Helmholtz Portfolio Theme Large-Scale Data Management and Analysis (LSDMA). Ed.: C. Jung, 99–107, KIT Scientific Publishing
Federated Authentication and Authorization Infrastructure for LSDMA
Hardt, M.; Hayrapetyan, A.; Fuhrmann, P.; Millar, P.
2017. Helmholtz Portfolio Theme Large-Scale Data Management and Analysis (LSDMA). Ed.: C. Jung, 85–97, KIT Scientific Publishing
Web Processing Services for the Climate Science Community supported by Birdhouse
Ehbrecht, C.; Kindermann, S.; Meyer, J.
2017. Helmholtz Portfolio Theme Large-Scale Data Management and Analysis (LSDMA). Ed.: C. Jung, 11–22, KIT Scientific Publishing
Analysis of Environmental Satellite Data with Full Stack of Web Applications
Szuba, M.; Ameri, P.; Meyer, J.
2017. Helmholtz Portfolio Theme Large-Scale Data Management and Analysis (LSDMA). Ed.: C. Jung, 1–9, KIT Scientific Publishing
Network robustness assessed within a dual connectivity framework : Joint dynamics of the Active and Idle Networks
Tejedor, A.; Longjas, A.; Zaliapin, I.; Ambroj, S.; Foufoula-Georgiou, E.
2017. Scientific reports, 7 (1), Art.Nr. 8567. doi:10.1038/s41598-017-08714-3
Transforming a Local Medical Image Analysis for Running on a Hadoop Cluster
Strutz, M.; Heßling, H.; Streit, A.
2017. Procedia computer science, 108, 1622–1631. doi:10.1016/j.procs.2017.05.227
Numerical Simulation of the Ignition of Fuel/Air Gas Mixtures Around Small Hot Particles
Häber, T.; Zirwes, T.; Roth, D.; Zhang, F.; Bockhorn, H.; Maas, U.
2017. Zeitschrift für physikalische Chemie, 231 (10), 1625–1654. doi:10.1515/zpch-2016-0933
High-throughput screening and analysis of startle response behvior in zebrafish
Peravali, R.; Marcato, D.; Stegmaier, J.; Geisler, R.; Pylatiuk, C.; Reischl, M.; Wezel, J. van; Mikut, R.; Dallman, J.; Strähle, U.
2017. 10th European Zebrafish Meeting, Budapest, H, July 3-7, 2017
Combination of D0 measurements of the top quark mass
D0 Collaboration; Abazov, V. M.; Abbott, B.; Acharya, B. S.; Adams, M.; Adams, T.; Agnew, J. P.; Alexeev, G. D.; Alkhazov, G.; Alton, A.; Askew, A.; Atkins, S.; Augsten, K.; Aushev, V.; Aushev, Y.; u. a.
2017. Physical review / D, 95 (11), Art.Nr.: 112004. doi:10.1103/PhysRevD.95.112004
Helmholtz Portfolio Theme Large-Scale Data Management and Analysis (LSDMA)
Jung, C.; Meyer, J.; Streit, A. (Hrsg.)
2017. KIT Scientific Publishing. doi:10.5445/KSP/1000071931
An emission module for ICON-ART 2.0: implementation and simulations of acetone
Weimer, M.; Schröter, J.; Eckstein, J.; Deetz, K.; Neumaier, M.; Fischbeck, G.; Hu, L.; Millet, D. B.; Rieger, D.; Vogel, H.; Vogel, B.; Reddmann, T.; Kirner, O.; Ruhnke, R.; Braesicke, P.
2017. Geoscientific model development, 10 (6), 2471–2494. doi:10.5194/gmd-10-2471-2017
Using adaptive resource allocation to implement an elastic MapReduce framework
Zhao, J.; Xue, C.; Tao, X.; Zhang, S.; Tao, J.
2017. Software <Chichester>, 47 (3), 349–360. doi:10.1002/spe.2398
Trusted Performance Analysis on Systems With a Shared Memory
Zhao, J.; Xue, C.; Tao, J.; Ranjan, R.; Kolodziej, J.; Wang, L.; Chen, D.
2017. IEEE systems journal, 11 (1), 272–282. doi:10.1109/JSYST.2014.2365234
Effect of unsteady stretching on the flame local dynamics
Zhang, F.; Zirwes, T.; Habisreuther, P.; Bockhorn, H.
2017. Combustion and flame, 175, 170–179. doi:10.1016/j.combustflame.2016.05.028
Scalability and performance of the Privacy-Aware Classification method GenPAC
Schlitter, N.; Ullrich, M.; Lassig, J.
2017. 14th Annual Conference on Privacy, Security and Trust (PST), Auckland, New Zealand, 12th - 14th December 2016, 376–383, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PST.2016.7906959
bioliq® Fortschrittsbericht III: Hochtemperaturreinigung von Synthesegasen
Mai, R.; Leibold, H.; Stapf, D.
2017. 2.bioliq® Statusseminar, Eggenstein-Leopoldshafen, 21.April 2017
Large-scale identification of coevolution signals across homo-oligomeric protein interfaces by direct coupling analysis
Uguzzoni, G.; Lovis, S. J.; Oteri, F.; Schug, A.; Szurmant, H.; Weigt, M.
2017. Proceedings of the National Academy of Sciences of the United States of America, 114 (13), E2662-E2671. doi:10.1073/pnas.1615068114
Computational Insights into Zebrafish Brain Development during Gastrulation. Dissertation
Sinner, C.
2017. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000068105
HEPPA-II model–measurement intercomparison project: EPP indirect effects during the dynamically perturbed NH winter 2008-2009
Funke, B.; Ball, W.; Bender, S.; Gardini, A.; Harvey, V. L.; Lambert, A.; López-Puertas, M.; Marsh, D. R.; Meraner, K.; Nieder, H.; Päivärinta, S.-M.; Pérot, K.; Randall, C. E.; Reddmann, T.; Rozanov, E.; u. a.
2017. Atmospheric chemistry and physics, 17 (5), 3573–3604. doi:10.5194/acp-17-3573-2017
On MAS-Based, Scalable Resource Allocation in Large-Scale, Dynamic Environments
Gudu, D.; Hardt, M.; Streit, A.
2017. The 13th IEEE International Conference on Ubiquitous Intelligence and Computing, The 13th IEEE International Conference on Advanced and Trusted Computing, The 16th IEEE International Conference on Scalable Computing and Communications, The IEEE International Conference on Cloud and Big Data Computing, The IEEE International Conference on Internet of People, The IEEE Smart World Congress and Workshops, Toulouse, F, July 18-21, 2016. Ed.: D. El Baz, 567–574, IEEE Computer Society. doi:10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0097
An assessment of the climatological representativeness of IAGOS-CARIBIC trace gas measurements using EMAC model simulations
Eckstein, J.; Ruhnke, R.; Zahn, A.; Neumaier, M.; Kirner, O.; Braesicke, P.
2017. Atmospheric chemistry and physics, 17 (4), 2775–2794. doi:10.5194/acp-17-2775-2017
Combustion-Generated Noise : An Environment-Related Issue for Future Combustion Systems
Zhang, F.; Zirwes, T.; Nawroth, H.; Habisreuther, P.; Bockhorn, H.; Paschereit, C. O.
2017. Energy technology, 5 (7), 1045–1054. doi:10.1002/ente.201600526
Initiation of deep convection in the Sahel in a convection-permitting climate simulation for northern Africa
Maurer, V.; Bischoff-Gauß, I.; Kalthoff, N.; Gantner, L.; Roca, R.; Panitz, H.-J.
2017. Quarterly journal of the Royal Meteorological Society, 143 (703), 806–816. doi:10.1002/qj.2966
Realtime Analysis of Large-Scale Data. Dissertation
Becker, D.
2017. KIT Scientific Publishing. doi:10.5445/KSP/1000056498
2016
Measurement of the inclusive t t production cross section in p p collisions at s =1.96 TeV and determination of the top quark pole mass
D0 Collaboration; Abazov, V. M.; Abbott, B.; Acharya, B. S.; Adams, M.; Adams, T.; Agnew, J. P.; Alexeev, G. D.; Alkhazov, G.; Alton, A.; Askew, A.; Atkins, S.; Augsten, K.; Aushev, Y.; Avila, C.; u. a.
2016. Physical review / D, 94 (9), Art. Nr.: 092004. doi:10.1103/PhysRevD.94.092004
Heat and Mass Transfer during Condensation of Fast Pyrolysis Vapors
Ille, Y.; Hamberger, P.; Dahmen, N.; Schaber, K.
2016. Chemie - Ingenieur - Technik, 88 (9), 1235. doi:10.1002/cite.201650162
Measurement of the top quark mass using the matrix element technique in dilepton final states
D0 Collaboration; Abazov, V. M.; Abbott, B.; Acharya, B. S.; Adams, M.; Adams, T.; Agnew, J. P.; Alexeev, G. D.; Alkhazov, G.; Alton, A.; Askew, A.; Atkins, S.; Augsten, K.; Aushev, V.; Aushev, Y.; u. a.
2016. Physical review / D, 94 (3), 032004. doi:10.1103/PhysRevD.94.032004
Molecular Origin of the Charge Carrier Mobility in Small Molecule Organic Semiconductors
Friederich, P.; Meded, V.; Poschlad, A.; Neumann, T.; Rodin, V.; Stehr, V.; Symalla, F.; Danilov, D.; Lüdemann, G.; Fink, R. F.; Kondov, I.; Wrochem, F. von; Wenzel, W.
2016. Advanced functional materials, 26 (31), 5757–5763. doi:10.1002/adfm.201601807
Evidence for a π State
D0 Collaboration; Abazov, V. M.; Abbott, B.; Acharya, B. S.; Adams, M.; Adams, T.; Agnew, J. P.; Alexeev, G. D.; Alkhazov, G.; Alton, A.; Askew, A.; Atkins, S.; Augsten, K.; Aushev, V.; Aushev, Y.; u. a.
2016. Physical review letters, 117 (2), Art.Nr. 022003. doi:10.1103/PhysRevLett.117.022003
B0s lifetime measurement in the CP-odd decay channel B0s→J/ψ f0(980)
D0 Collaboration; Abazov, V. M.
2016. Physical review / D, 94 (1), 012001. doi:10.1103/PhysRevD.94.012001
Evidence for Simultaneous Production of J /ψ and Y Mesons
D0 Collaboration; Abazov, V. M.; Abbott, B.; Acharya, B. S.; Adams, M.; Adams, T.; Agnew, J. P.; Alexeev, G. D.; Alkhazov, G.; Alton, A.; Askew, A.; Atkins, S.; Augsten, K.; Aushev, V.; Avila, C.; u. a.
2016. Physical review letters, 116 (8), Art.Nr. 082002. doi:10.1103/PhysRevLett.116.082002
Measurement of the forward-backward asymmetry of Λ and Λ ¯ production in p p ¯ collisions
D0 Collaboration; Abazov, V. M.; Abbott, B.; Acharya, B. S.; Adams, M.; Adams, T.; Agnew, J. P.; Alexeev, G. D.; Alkhazov, G.; Alton, A.; Askew, A.; Atkins, S.; Augsten, K.; Avila, C.; Badaud, F.; u. a.
2016. Physical review / D, 93 (3), Art. Nr.: 032002. doi:10.1103/PhysRevD.93.032002
Precise measurement of the top quark mass in dilepton decays using optimized neutrino weighting
Abazov, V. M.; Abbott, B.; Acharya, B. S.; Adams, M.; Adams, T.; Agnew, J. P.; Alexeev, G. D.; Alkhazov, G.; Alton, A.; Askew, A.; Atkins, S.; Augsten, K.; Avila, C.; Badaud, F.; Bagby, L.; u. a.
2016. Physics letters / B, 752, 18–26. doi:10.1016/j.physletb.2015.10.086
D9.4: Final Report on Efficient Integrity Checking
Krauß, P.; Cadolle Bel, M.; Kennedy, J. A.; Jankowski, M.
2016. The EUDAT2020 Consortium. doi:10.5445/IR/1000096016
Exploring Opportunities for Job-temporal File Systems with ADA-FS
Oeste, S.; Kluge, M.; Soysal, M.; Streit, A.; Vef, M.-A.; Brinkmann, A.
2016. 1st Joint International Workshop on Parallel Data Storage and Data Intensive Scalable Computing Systems (PDSW-DISCS 2016), Salt Lake City, UT, November 14, 2016
Attribute aggregation
Hardt, M.; Stevanovic, U.
2016
Consideration of values in the design of access control systems
Neudecker, T.; Hayrapetyan, A.; Degitz, A.; Andelfinger, P.
2016. 46. Jahrestagung der Gesellschaft fur Informatik - 46th Annual Meeting of the German Informatics Society, INFORMATIK 2016; Klagenfurt; Austria; 26 September 2016 through 30 September 2016. Ed.: H. C. Mayr, 275–288, Gesellschaft für Informatik (GI)
Power Grid Simulation - Using the MATPOWER-library on bwUniCluster for high-performance parallel Power Flow Timeseries Computation
Kühnapfel, U. G.; Cakmak, H. K.; Piccioni Koch, D.
2016. Workshop zum HGF-Programm SBD - Schwerpunkt: Energie, Karlsruhe, June 30 - July 1, 2016
INDIGO-Datacloud: a Cloud-based Platform as a Service oriented to scientific computing for the exploitation of heterogeneous resources
Salomoni, D.; Donvito, G.; Campos Plasencia, I.; Marco, J.; Oliveira Gomes, J.; Gaido, L.; Dutka, L.; Plociennik, M.; Hardt, M.; Fuhrmann, P.; Barbera, R.
2016. 22nd International Conference on Computing in High Energy, Nuclear Physics (CHEP2016), San Francisco, CA, October 8-14, 2016
Storage Quality-of-Service in Cloud-based Scientific Environments: a Standardization Approach
Miller, P.; Fuhrmann, P.; Hardt, M.; Ertl, B.; Brzezniak, M.
2016. 22nd International Conference on Computing in High Energy, Nuclear Physics (CHEP2016), San Francisco, CA, October 10-14, 2016
The INDIGO-DataCloud authentication, authorisation infrastructure
Ceccanti, A.; Wegh, B.; Ertl, B.; Vianello, E.; Caberletti, M.; Hardt, M.; Millar, P.; Licehammer, S.
2016. 22nd International Conference on Computing in High Energy, Nuclear Physics (CHEP2016), San Francisco, CA, October 8-14, 2016
Realtime Analysis of Large-Scale Data [Finale Version]. Dissertation
Becker, D.
2016. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000069259
Bwcloud: Cross-site server virtualization
Dulov, O. V.
2016. 7th International Conference Distributed Computing and Gridtechnologies in Science and Education (GRID 2016), Dubna, Russian Federation, July 4-9, 2016. Ed.: V. Korenkov, 202–212, RWTH Aachen
MAS-based, scalable allocation of resources in large-scale, dynamic environments
Gudu, D.
2016. KIT>>Links(opens in a new window)| BibTeX export | Download | Add to List | More... Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, Singapore, SGP, May 9-13, 2016, 1530–1531, International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Identity harmonization for federated HPC, grid and cloud services
Ertl, B.; Stevanovic, U.; Hayrapetyan, A.; Wegh, B.; Hardt, M.
2016. 2016 International Conference on High Performance Computing & Simulation (HPCS), Innsbruck, Austria, 18–22 July 2016, 621–627, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/HPCSim.2016.7568393
Timing Analysis for Inferring the Topology of the Bitcoin Peer-to-Peer Network
Neudecker, T.; Andelfinger, P.; Hartenstein, H.
2016. The 13th IEEE International Conference on Ubiquitous Intelligence and Computing, The 13th IEEE International Conference on Advanced and Trusted Computing, The 16th IEEE International Conference on Scalable Computing and Communications, The IEEE International Conference on Cloud and Big Data Computing, The IEEE International Conference on Internet of People, The IEEE Smart World Congress and Workshops, Toulouse, F, July 18-21, 2016. Ed.: D. El Baz, 358–367, IEEE Computer Society. doi:10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0070
Energy-efficient task scheduling in data centers
Mhedheb, Y.; Streit, A.
2016. 6th International Conference on Cloud Computing and Services Science, CLOSER 201, Rome, Italy, 23 - 25 April, 2016, 273–282, Science and Technology Publications
Realtime-processing of nanocrystallography images
Becker, D.; Streit, A.
2016. Proceedings of the 18th International Conference on Computer Modelling and Simulation (UKSim-AMSS), Cambridge, UK, April 6-8,2016. Ed.: G. Jenkins, 190–195, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/UKSim.2016.20
Research Data Management within the E-Science Strategy in Baden-Württemberg - Preliminary Results of Project bwFDM-Communities
Cayoglu, U.; Shcherbakov, D.; Tristram, F.
2016. Proceedings of the 2nd Data Management Workshop, 1–6, Geographisches Institut. doi:10.5880/TR32DB.KGA96.2
Modelling convective dust storms in large-scale weather and climate models
Pantillon, F.; Knippertz, P.; Marsham, J. H.; Panitz, H.-J.; Bischoff-Gauss, I.
2016. EGU General Assembly, 17–22 April 2016, Vienna, A
Modelling convective dust storms in large-scale weather and climate models
Pantillon, F.; Knippertz, P.; Marsham, J. H.; Panitz, H.-J.; Bischoff-Gauss, I.; Pope, R.
2016. 2nd International Conference on Atmospheric Dust, 12–17 June 2016, Castellaneta Marina, Taranto, Italy
Erratum: Search for Violation of CPT and Lorentz Invariance in Bs0 Meson Oscillations (Physical Review Letters (2015) 115 (161601))
D0 Collaboration; Abazov, V. M.; Alton, A.; Burdin, S.; Deterre, C.; Grohsjean, A.; La Cruz, I. H.-D.; Partridge, R.; Hesketh, G.; Luna-Garcia, R.; Santos, A. S.; Meyer, J.; Patwa, A.; Cooke, M.; Borysova, M.; u. a.
2016. Physical review letters, 116 (1), Art. Nr.: 019901. doi:10.1103/PhysRevLett.116.019901
Two-Zone Fluidized Bed Reactors for Butadiene Production: A Multiphysical Approach with Solver Coupling for supercomputing Application
Matthias Hettel; Jordan A. Denev; Olaf Deutschmann
2016. High Performance Computing in Science & Engineering - 19th Results and Review Workshop of the HLRS
Impact of infinite thin flame approach on the evaluation of flame speed using spherically expanding flames
Zhang, F.; Baust, T.; Zirwes. Torsten; Denev, J. A.; Habisreuther, P.; Zarzalis, N.; Bockhorn, H.
2016. Energy technology, 5 (7), 1055–1063. doi:10.1002/ente.201600573
A scalable architecture for online anomaly detection of WLCG batch jobs
Kuehn, E.; Fischer, M.; Giffels, M.; Jung, C.; Petzold, A.
2016. Journal of physics / Conference Series, 762, 012002. doi:10.1088/1742-6596/762/1/012002
Data Locality via Coordinated Caching for Distributed Processing
Fischer, M.; Kuehn, E.; Gffels, M.; Jung, C.
2016. Journal of physics / Conference Series, 762, 012011. doi:10.1088/1742-6596/762/1/012011
INDIGO-Datacloud: foundations and architectural description of a Platform as a Service oriented to scientific computing
Salomoni, D.; Campos, I.; Gaido, L.; Donvito, G.; Antonacci, M.; Fuhrman, P.; Marco, J.; Lopez-Garcia, A.; Orviz, P.; Blanquer, I.; Caballer, M.; Molto, G.; Plociennik, M.; Owsiak, M.; Urbaniak, M.; u. a.
2016
NoWog: A Workload Generator for Database Performance Benchmarking
Ameri, P.; Schlitter, N.; Meyer, J.; Streit, A.
2016. 2016 IEEE 14th Intl Conf on Dependable, Autonomic and Secure Computing, 14th Intl Conf on Pervasive Intelligence and Computing, 2nd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech), Auckland, New Zealand, 8–12 August 2016. Ed. : Q. Jin, 666–673, IEEE Computer Society. doi:10.1109/DASC-PICom-DataCom-CyberSciTec.2016.120
Online Distance Measurement for Tree Data Event Streams
Kuehn, E.; Streit, A.
2016. 2016 IEEE 14th Intl Conf on Dependable, Autonomic and Secure Computing, 14th Intl Conf on Pervasive Intelligence and Computing, 2nd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech), Auckland, New Zealand, 8–12 August 2016. Ed. : Q. Jin, 681–688, IEEE Computer Society. doi:10.1109/DASC-PICom-DataCom-CyberSciTec.2016.122
Impact of acetone on ozone in the upper troposphere: simulations with ICON-ART
Weimer, M.; Ruhnke, R.; Schröter, J.; Eckstein, J.; Deetz, K.; Stassen, C.; Braesicke, P.; Vogel, B.; Kirner, O.
2016. Quadrennial Ozone Symposium 2016, September, 4-9, 2016, Edinburgh, UK
Relative roles of different types of PSC to Antarctic ozone depletion in polar spring caused by chlorine activation, denitrification and dehydration
Kirner, O.; Müller, R.; Khosrawi, F.; Ruhnke, R.
2016. Quadrennial Ozone Symposium 2016, September, 4-9, 2016, Edinburgh, UK
Errors induced by different approximations in handling horizontal atmospheric inhomogeneities in MIPAS/ENVISAT retrievals
Castelli, E.; Ridolfi, M.; Carlotti, M.; Sinnhuber, B.-M.; Kirner, O.; Kiefer, M.; Dinelli, B. M.
2016. Atmospheric measurement techniques, 9 (11), 5499–5508. doi:10.5194/amt-9-5499-2016
The RADAR project-a service for research data archival and publication
Kraft, A.; Razum, M.; Potthoff, J.; Porzel, A.; Engel, T.; Lange, F.; den Broek, K. van; Furtado, F.
2016. ISPRS International Journal of Geo-Information, 5 (3), Art.Nr.: 28. doi:10.3390/ijgi5030028
Study of double parton interactions in diphoton+dijet events in p p collisions at s =1.96 TeV
D0 Collaboration; Abazov, V. M.; Abbott, B.; Acharya, B. S.; Adams, M.; Adams, T.; Agnew, J. P.; Alexeev, G. D.; Alkhazov, G.; Alton, A.; Askew, A.; Atkins, S.; Augsten, K.; Aushev, V.; Aushev, Y.; u. a.
2016. Physical review / D, 93 (5), Art.Nr.: 052008. doi:10.1103/PhysRevD.93.052008
Graph-based decision making for task scheduling in concurrent Gaudi
Shapoval, I.; Clemencic, M.; Hegner, B.; Funke, D.; Piparo, D.; Mato, P.
2016. IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), San Diego, California, USA, 31 Oct.-7 Nov. 2015, 1–3, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/NSSMIC.2015.7581843
Energy Efficient Runtime Framework for Exascale Systems
Mhedheb, Y.; Streit, A.
2016. High Performance Computing (ISC), 32–44, Springer Verlag. doi:10.1007/978-3-319-46079-6_3
A new module for trace gas emissions in ICON-ART 2.0: A sensitivity study focusing on acetone emissions and concentrations
Weimer, M.; Schröter, J.; Eckstein, J.; Deetz, K.; Neumaier, M.; Fischbeck, G.; Rieger, D.; Vogel, H.; Vogel, B.; Reddmann, T.; Kirner, O.; Ruhnke, R.; Braesicke, P.
2016. Geoscientific model development discussions, 2016, 1–27. doi:10.5194/gmd-2016-259
Einsatz von ITSM in Projektform – Erfahrungsberichte
Beckmann, N.; Brenner, M.; Bündgens, D.; Grindler, A.; Hengstebeck, I.; Holler, B.; Lara, C.; Mai, M.; Peinz, H.; Springorum, L.
2016. Kooperation von Rechenzentren : Governance und Steuerung - Organisation, Rechtsgrundlagen, Politik. Hrsg.: D. von Suchodoletz, 109–126, Oldenbourg Verlag. doi:10.1515/9783110459753-008
Status Report - HEPiX Benchmarking Working Group
Alef, M.
2016. HEPiX Fall 2016 Workshop (LBNL), Berkeley, CA, 17-21 October 2016
Developing the WLCG Tier-1 center GridKa as a topical center in a multidisciplinary research environment
Heiss, A.; Petzold, A.
2016. 22nd International Conference on Computing in High Energy and Nuclear Physics, San Francisco, CA, October 10-14, 2016
On the climatological probability of the vertical propagation of stationary planetary waves
Karami, K.; Braesicke, P.; Sinnhuber, M.; Versick, S.
2016. Atmospheric chemistry and physics, 16 (13), 8447–8460. doi:10.5194/acp-16-8447-2016
A semi-empirical model for mesospheric and stratospheric NOy produced by energetic particle precipitation
Funke, B.; Lopez-Puertas, M.; Stiller, G. P.; Versick, S.; Clarmann, T. von
2016. Atmospheric chemistry and physics, 16 (13), 8667–8693. doi:10.5194/acp-16-8667-2016
Aerosol formation in a double-stage acid recovery process
Hamberger, P.; Schaber, K.
2016. 22nd European Aerosol Conference (EAC 2016), Tours, Frankreich, 4.–9. September 2016
MAS-based, scalable allocation of resources in large-scale, dynamic environments (Doctoral consortium)
Gudu, D.
2016. Proceedings of the 2016 International Conference on Agents and Multiagent Systems (AAMAS’16), Singapore, SGP, May 9-13, 2016, 1530–1531, International Foundation for Autonomous Agents and Multiagent Systems
MAS-based, scalable allocation of resources in large-scale, dynamic environments (Doctoral consortium)
Gudu, D.
2016. International Conference on Agents and Multiagent Systems (AAMAS’16), Singapore, SGP, May 9-13, 2016
A Distributed System for Storing and Processing Data from Earth-Observing Satellites: System Design and Performance Evaluation of the Visualisation Tool
Szuba, M.; Ameri, P.; Grabowski, U.; Meyer, J.; Streit, A.
2016. Proceedings of the 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2016), Cartagena de Indias, Colombia, May 16-19, 2016, 169–174, IEEE Computer Society. doi:10.1109/CCGrid.2016.19
A Distributed System for Storing and Processing Data from Earth-Observing Satellites: System Design and Performance Evaluation of the Visualisation Tool
Szuba, M.; Ameri, P.; Grabowski, U.; Meyer, J.; Streit, A.
2016. 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2016), Cartagena de Indias, Colombia, May 16-19, 2016
RNA Secondary and Tertiary Structure Prediction by Tracing Nucleotide Co-Evolution with Direct Coupling Analysis
De Leonardis, E.; Lutz, B.; Ratz, S.; Simona, C.; Monasson, R.; Weigt, M.; Schug, A.
2016. Biophysical Society 60th Annual Meeting, Los Angeles, CA, February 27 - March 2, 2016. doi:10.1016/j.bpj.2015.11.1960
Dynamic Simulations of Cell Migration with Applications to Brain Development
Sinner, C.; Reinartz, I.; Bösze, B.; Scholpp, S.; Schug, .. A.
2016. Biophysical Society 60th Annual Meeting, Los Angeles, CA, February 27 - March 2, 2016. doi:10.1016/j.bpj.2015.11.1886
Direct Neutrino Mass Experiments
Mertens, S.
2016. Journal of physics / Conference Series, 718, 022013/1–9. doi:10.1088/1742-6596/718/2/022013
3D Simulations of Morphogen Transport in an Early Fish Embryo
Reinartz, I.; Sinner, C.; Stanganello, E.; Mattes, B.; Scholpp, S.; Schug, A.
2016. Biophysical Society 60th Annual Meeting, Los Angeles, CA, February 27 - March 2, 2016. doi:10.1016/j.bpj.2015.11.802
Wärme- und Stofftransport während der Kondensation von Schnellpyrolysedämpfen
Ille, Y.; Hamberger, P.; Dahmen, N.; Schaber, K.
2016. ProcessNet-Jahrestagung und 32. DECHEMA-Jahrestagung der Biotechnologen (2016), Aachen, Deutschland, 12.–15. September 2016
Aerosol formation during the condensation of fast pyrolysis vapours
Ille, Y.; Hamberger, P.; Dahmen, N.; Schaber, K.
2016. 22nd European Aerosol Conference (EAC 2016), Tours, Frankreich, 4.–9. September 2016
Privileged Scaffolds in Medicinal Chemistry - A Computational Approach
Anand, P.; John, S.; Meliciani, I.; Schug, A.; Wenzel, W.
2016. Privileged Scaffolds in Medicinal Chemistry : Design, Synthesis, Evaluation. Ed.: S. Bräse, 16–63, Royal Society of Chemistry (RSC). doi:10.1039/9781782622246-00016
Database Techniques for Big Data
Ameri, P.
2016. Big Data : Principles and Paradigms. Ed.: R. Buyya, 139–159, Morgan Kaufmann Publishers. doi:10.1016/B978-0-12-805394-2.00006-4
Challenges of index recommendation for databases [with specific evaluation on a NoSQL database]
Ameri, P.
2016. 27.GI-Workshop "Grundlagen von Datenbanken", Nörten-Hardenberg, 24.-27.Mai 2016
NoWog: A workload generator for database performance benchmarking
Ameri, P.; Schlitter, N.; Meyer, J.; Streit, A.
2016. 2nd International Conference on Big Data Intelligence and Computing (IEEE DataCom 2016), Auckland, NZ, August 8-12, 2016
Online distance measurement for tree data event streams
Kuehn, E.; Streit, A.
2016. 2nd International Conference on Big Data Intelligence and Computing (IEEE DataCom 2016), Auckland, NZ, August 8-12, 2016
Data locality via coordinated caching for distributed processing
Fischer, M.; Kuehn, E.
2016. 7th International Conference on Cloud Computing, GRIDs, and Virtualization, Roma, I, March 20-24, 2016. Ed.: C. Becker Westphall, 113–118, International Academy, Research, and Industry Association (IARIA)
Data locality via coordinated caching for distributed processing
Fischer, M.; Kuehn, E.
2016. 7th International Conference on Cloud Computing, GRIDs, and Virtualization, Roma, I, March 20-24, 2016
Decentralized secure data sharing with attribute-based encryption: A resource consumption analysis
Kuehner, H.; Hartenstein, H.
2016. Proceedings of the 4th ACM International Workshop on Security in Cloud Computing, SCC 2016, Xi’an, China, 30th May 2016, 74–81, Association for Computing Machinery (ACM). doi:10.1145/2898445.2898449
On a self-tuning index recommendation approach for databases
Ameri, P.
2016. 32nd IEEE International Conference on Data Engineering Workshops (ICDEW) Helsinki; Finland; 16 - 20 May 2016, 201–205, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICDEW.2016.7495648
Challenges of Index Recommendation for Databases : [With Specific Evaluation on a NoSQL Database]
Ameri, P.
2016. 2016 GI-Workshop Grundlagen von Datenbanken, vom 24.05.2016 bis zum 27.05.2016 in Nörten-Hardenberg, Niedersachsen, Deutschland, 10–14
Airglow von angeregten O₂- und OH-Molekülen: Vergleich des Globalmodells EMAC mit SCIAMACHY Beobachtungen
Versick, S.; Bender, S.; Savigny, C. von; Sinnhuber, M.; Teiser, G.; Vlasov, A.; Zarboo, A.
2016. 80. Jahrestagung der DPG und DPG-Frühjahrstagung der Sektion Kondensierte Materie, Fachverband Oberflächenphysik, Regensburg, 6.-11.März 2016.Verhandlungen der Deutschen Physikalischen Gesellschaft, R.6, B51(2016) UP1.4
Simulation flüchtiger organischer Substanzen mit ICON-ART
Weimer, M.; Schröter, J.; Eckstein, J.; Stassen, C.; Deetz, K.; Rieger, D.; Vogel, H.; Vogel, B.; Kirner, O.; Braesicke, P.; Ruhnke, R.
2016. Deutsch-Österreichisch-Schweizerische Meteorologen-Tagung (Dach 2016), Berlin, Deutschland, 14.–18. März 2016
Comparison of Airglow from excited O₂- and OH-molecules in the global model EMAC compared to SCIAMACHY observations
Versick, S.; Bender, S.; Savigny, S. von; Sinnhuber, M.; Teiser, G.; Vlasov, A.; Zarboo, A.
2016. European Geosciences Union General Assembly, Wien, A, April 17-22, 2016. Geophysical Research Abstracts, 18(2016) EGU2016-12285
Tests of a parameterization for auroral forcing in the CCM EMAC for CMIP6 simulations
Versick, S.; Funke, B.; Sinnhuber, M.; Linden, A.; Clarmann, T. von
2016. European Geosciences Union General Assembly, Wien, A, April 17-22, 2016. Geophysical Research Abstracts, 18(2016) EGU2016-14242
Relative roles of different types of PSC to Antarctic ozone depletion in polar spring caused by chlorine activation, denitrification and dehydration
Kirner, O.; Müller, R.; Khosrawi, F.; Ruhnke, R.
2016. Deutsch-Österreichisch-Schweizerische Meteorologen-Tagung (Dach 2016), Berlin, Deutschland, 14.–18. März 2016
Chemistry climate interactions of stratospheric and mesospheric ozone in EMAC long-term simulations with different boundary conditions for CO₂, CH₄, N₂O and ODS
Kirner, O.; Ruhnke, R.; Sinnhuber, B. M.
2016. SPARC Workshop : Stratospheric Change and its Role in Climate Prediction (SHARP), Berlin, February 16-19, 2016
Automation strategies for large-scale 3D image analysis
Stegmaier, J.; Schott, B.; Hübner, E.; Traub, M.; Shahid, M.; Takamiya, M.; Kobitski, A.; Hartmann, V.; Stotzka, R.; Van Wezel, J.; Streit, A.; Nienhaus, G. U.; Strähle, U.; Reischl, M.; Mikut, R.
2016. Automatisierungstechnik, 64 (7), 555–566. doi:10.1515/auto-2016-0019
Advances in Methods and Techniques for Processing Streaming Big Data in Datacentre Clouds
Ranjan, R.; Wang, L.; Zomaya, A. Y.; Tao, J.; Jayaraman, P. P.; Georgakopoulos, D.
2016. IEEE transactions on emerging topics in computing, 4 (2), 262–265. doi:10.1109/TETC.2016.2524219
Realtime Analysis of Large-Scale Data [Vorläufige Version]. Dissertation
Becker, D.
2016. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000057693
Multiscale simulation of organic electronics via smart scheduling of quantum mechanics computations
Friederich, P.; Strunk, T.; Wenzel, W.; Kondov, I.
2016. Procedia Computer Science, 80, 1244–1254. doi:10.1016/j.procs.2016.05.495
Multiscale simulation of organic electronics via smart scheduling of quantum mechanics computations
Friederich, P.; Strunk, T.; Wenzel, W.; Kondov, I.
2016. International Conference on Computational Science (ICCS 2016), San Diego, CA, June 6-8, 2016
Simulation of electrocatalytic oxygen reduction reaction on Cr-modified Ni surfaces
Kondov, I.; Faubert, P.; Müller, C.; Reinecke, H.
2016. Spring meeting of the European Materials Research Society (E-MRS 2016), Lille, F, May 2-6, 2016
Dynamic scheduling system for massively parallel computations in astro- and particle physics
Dorofeeva, E.
2016. 3rd KSETA Plenary Workshop, Durbach, February 22-24, 2016
On a dynamic scheduling algorithm for massively parallel computations of atomic isotopes
Dorofeeva, E.; Arora, J.; Typel, S.; Poghosyan, G.; Sanders, P.; Streit, A.
2016. 7th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2016), Hersonissos, GR, June 5-10, 2016. Proceedings published online
On a dynamic scheduling algorithm for massively parallel computations of atomic isotopes
Dorofeeva, E.; Arora, J.; Typel, S.; Poghosyan, G.; Sanders, P.; Streit, A.
2016. 7th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2016), Hersonissos, GR, June 5-10, 2016
Dynamic scheduling system for massively parallel computations
Dorofeeva, E.
2016. International HPC Summer School 2016 on HPC Challenges in Computational Sciences, Ljubljana, SLO, June 26 - July 1, 2016
Measurement of the forward-backward asymmetries in the production of Ξ and Ω baryons in pp¯ collisions
D0 Collaboration; Abazov, V. M.; Abbott, B.; Acharya, B.; Adams, M.; Adams, T.; Agnew, J. P.; Alexeev, G. D.; Alkhazov, G.; Alton, A.; Askew, A.; Atkins, S.; Augsten, K.; Aushev, V.; Aushev, Y.; u. a.
2016. Physical review / D, 93 (11), 112001. doi:10.1103/PhysRevD.93.112001
ARM Cluster for Performant and Energy-Efficient Storage
Gudu, D.; Hardt, M.
2016. Computational Sustainability. Ed.: J. Lässig, 265–276, Springer International Publishing. doi:10.1007/978-3-319-31858-5_12
GN4-1 White Paper: Comparison of Authentication and Authorisation Infrastructures for Research
Hämmerle, L.; Sabatino, R.; Lenggenhager, T.; Mantovani, M. L.; Pilt, P.; Toom, L.; Jensen, J.; Torroglosa, E.; Paetow, S.; Solagna, P.; Elbers, W.; Ceccanti, A.; Wegh, B.; Hardt, M.; Millar, P.; u. a.
2016. GÉANT
CPU benchmarking at GridKa (Update April 2016)
Alef, M.
2016. HEPiX Spring Meeting, Zeuthen, April 18-22, 2016
Comparing data obtained from ground-based measurements of the total contents of O₃, HNO₃,HCl, and NO₂ and from their numerical simulation
Virolainen, Y. A.; Timofeyev, Y. M.; Polyakov, A. V.; Ionov, D. V.; Kirner, O.; Poberovskii, A. V.; Imhasin, H. K.
2016. Izvestiya - Atmospheric and Ocean Physics, 52 (1), 57–65. doi:10.1134/S0001433815060146
Earth system chemistry integrated modelling (ESCiMo) with the modular earth submodel system (MESSy) version 2.51
Jöckel, P.; Tost, H.; Pozzer, A.; Kunze, M.; Kirner, O.; Brenninkmeijer, C. A. M.; Brinkop, S.; Cai, D. S.; Dyroff, C.; Eckstein, J.; Frank, F.; Garny, H.; Gottschaldt, K.-D.; Graf, P.; Grewe, V.; u. a.
2016. Geoscientific Model Development, 9 (3), 1153–1200. doi:10.5194/gmd-9-1153-2016
Modeling haboob dust storms in large-scale weather and climate models
Pantillon, F.; Knippertz, P.; Marsham, J. H.; Panitz, H.-J.; Bischoff-Gauss, I.
2016. Journal of geophysical research / Atmospheres, 121 (5), 2090–2109. doi:10.1002/2015JD024349
First suggestions for a WLCG fast benchmark
Alef, M.
2016. Monthly Meeting of the WLCG Grid Deployment Board, Amsterdam, NL, March 7, 2016
Results of HS06 Scaling Studies at GridKa (Update WLCG Workshop Lisbon 2016-02-01)
Alef, M.
2016. WLCG Collaboration Workshop, Lisboa, P, February 1-3, 2016
Benchmarking bei Beschaffung und Betrieb des GridKa-Clusters
Alef, M.
2016. Tagung des ZKI-Arbeitskreises Supercomputing, Karlsruhe, 14.-15.März 2016
Ab initio transport calculations for functionalized graphene flakes on a supercomputer
Walz, M.; Bagrets, A.; Evers, F.; Kondov, I.
2016. High Performance Computing in Science and Engineering ’15 : Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2015. Ed.: W.E. Nagel, 139–154, Springer. doi:10.1007/978-3-319-24633-8_9
Results of HS06 scaling studies at GridKa. Update 2/2016
Alef, M.
2016. WLCG Collaboration Workshop, Lisboa, P, February 1-3, 2016
A Novel Framework for Simulating Computing Infrastructure and Network Data Flows Targeted on Cloud Computing
Krauß, P.; Kurze, T.; Streit, A.; Neumair, B.
2016. CLOUD COMPUTING 2016. The Seventh International Conference on Cloud Computing, GRIDs, and Virtualization, March 20 - 24, 2016 Rome, Italy. Ed.: C. Becker Westphall, 30–37, International Academy, Research, and Industry Association (IARIA)
On Spatial Measures of Geographic Relevance for Geotagged Social Media Content
Wang, X.; Gaugel, T.; Keller, M.
2016. Big Data Analytics in the Social and Ubiquitous Context. 5th International Workshop on Modeling Social Media, MSM 2014, 5th International Workshop on Mining Ubiquitous and Social Environments, MUSE 2014, and First International Workshop on Machine Learning for Urban Sensor Data, SenseML 2014, Revised Selected Papers. Ed.: F. Janssen, 70–89, Springer. doi:10.1007/978-3-319-29009-6_4
Designing Fail-Safe and Traffic Efficient 802.11p-based Rear-End Collision Avoidance
An, N.; Mittag, J.; Hartenstein, H.
2016. Ad hoc Networks, 37 (P1), 3–13. doi:10.1016/j.adhoc.2015.08.006
2015
Data-driven coarse graining in action: Modeling and prediction of complex systems
Krumscheid, S.; Pradas, M.; Pavliotis, G. A.; Kalliadasis, S.
2015. Physical Review E, 92 (4), Article no: 042139. doi:10.1103/PhysRevE.92.042139
A new framework for extracting coarse-grained models from time series with multiscale structure
Kalliadasis, S.; Krumscheid, S.; Pavliotis, G. A.
2015. Journal of Computational Physics, 296, 314–328. doi:10.1016/j.jcp.2015.05.002
Modelling convective dust storms in large-scale weather and climate models
Pantillon, F.; Knippertz, P.; Marsham, J. H.; Panitz, H.-J.; Bischoff-Gauss, I.
2015. AGU Fall Meeting (2015), San Francisco, CA, USA, 14.–18. Dezember 2015
Öffentlicher Abschlussbericht von bwFDM-Communities - Wissenschaftliches Datenmanagement an den Universitäten Baden-Württembergs
Tristram, F.; Bamberger, P.; Uğur Çayoğlu; Hertzer, J.; Knopp, J.; Kratzke, J.; Rex, J.; Schwabe, F.; Shcherbakov, D.; Svoboda, D.-F.; Wehrle, D.
2015. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000083272
Ultra-high energy air shower simulation without thinning in CORSIKA
Pierog, T.; Engel, R.; Heck, D.; Poghosyan, G.; Oehlschläger, J.; Veberic, D.
2015. 34th International Cosmic Ray Conference, ICRC 2015, The Hague, NL, 30. July - 6. August, 2015, Art.Nr.: 528, Scuola Internazionale Superiore di Studi Avanzati (SISSA)
Clustering evolving batch system jobs for online anomaly detection
Kuehn, E.
2015. 15th IEEE International Conference on Data Mining, Atlantic City, NJ, November 14-17, 2015. Ed.: P. Cui, 1534–1535, IEEE Computer Society. doi:10.1109/ICDMW.2015.219
Clustering evolving batch system jobs for online anomaly detection
Kuehn, E.
2015. 15th IEEE International Conference on Data Mining, Atlantic City, NJ, November 14-17, 2015
Comparison of Airglow from excited O₂- and OH-molecules in the global model EMAC compared to observations
Versick, S.; Sinnhuber, M.; Savigny, C.; Teiser, G.; Vlasov, A.
2015. European Geosciences Union General Assembly, Wien, A, April 12-17, 2015. Geophysical Research Abstracts, 17(2016) EGU2015-9621
A note on new trends in data-aware scheduling and resource provisioning in modern HPC systems : (Editorial)
Tao, J.; Kolodziej, J.; Ranjan, R.; Jayaraman, P. P.; Buyya, R.
2015. Future generation computer systems, 51, 45–46. doi:10.1016/j.future.2015.04.016
Revealing the global map of protein folding space by large-scale simulations
Sinner, C.; Lutz, B.; Verma, A.; Schug, A.
2015. The journal of chemical physics, 143 (24), Art.Nr.:243154. doi:10.1063/1.4938172
Constructing a folding model for protein S6 guided by native fluctuations deduced from NMR structures
Lammert, H.; Noel, J. K.; Haglund, E.; Schug, A.; Onuchic, J. N.
2015. The journal of chemical physics, 143 (24), Art.Nr. 243141. doi:10.1063/1.4936881
Unlocking data: Federated identity with LSDMA and dCache
Millar, A. P.; Behrmann, G.; Bernardt, C.; Fuhrmann, P.; Hardt, M.; Hayrapetyan, A.; Litvintsev, D.; Mkrtchyan, T.; Rossi, A.; Schwank, K.
2015. Journal of physics / Conference Series, 664 (4), 042037/1–4. doi:10.1088/1742-6596/664/4/042037
Benchmark of a cubieboard cluster
Schnepf, M. J.; Gudu, D.; Rische, B.; Fischer, M.; Jung, C.; Hardt, M.
2015. Journal of physics / Conference Series, 664 (5), 052032/1–7. doi:10.1088/1742-6596/664/5/052032
Real-time signal identification in photon science imaging
Becker, D.; Streit, A.
2015. International journal of simulation, 16 (3), 7.1–7.10. doi:10.1109/HPCSim.2015.7237101
An approach for integrating kerberized non web-based services with web-based identity federations
Bersenev, A. A.; Hayrapetyan, A.; Hardt, M.; Simon, M. E.
2015. Proceedings of the 10th International Conference on Software Paradigm Trends, Colmar, Alsace, France, 20 - 22 July, 2015 , [part of: ICSOFT 2015, 10th International Joint Conference on Software Technologies], 144–150, SciTePress
Localization of Signal Peaks in Photon Science Imaging
Becker, D.; Streit, A.
2015. 2015 17th UKSIM-AMSS International Conference on Modelling and Simulation, Cambridge, United Kingdom 25-27 March 2015. Ed.: D. Al-Dabass, 296–301, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/uksim.2015.35
Coevolutionary Landscape Inference and the Context-Dependence of Mutations in Beta-Lactamase TEM-1
Figliuzzi, M.; Jacquier, H.; Schug, A.; Tenaillon, O.; Weigt, M.
2015. Molecular Biology and Evolution, 33 (1), 268–280. doi:10.1093/molbev/msv211
On the Resource Consumption of Secure Data Sharing
Kühner, H.; Hartenstein, H.
2015. Trustcom/BigDataSE/ISPA, IEEE, Helsinki, finland, 20-22. August 2015. Vol. 1, 880–889, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/Trustcom.2015.460
A Security Analysis of the Emerging P2P-based Personal Cloud Platform MaidSafe
Jacob, F.; Mittag, J.; Hartenstein, H.
2015. Proceedings of the IEEE Trustcom / BigDataSE / ISPA : Helsinki, Finland, 20th - 22nd August 2015, 1403–1410, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/Trustcom.2015.538
GridKa school - teaching information technologies since 2003
Ernst, M.; Hartmann, T.; Heiss, A.; Jung, C.; Meyer, J.; Nilsen, D.; Petzold, A.; Pfeiler, C. E.; Schaeffner, I.; Tao, J.; Weber, P.
2015. 2015 IEEE Global Engineering Conference (EDUCON), Tallinn, EST, March 18-20, 2015
Integrating network and transfer metrics to optimize transfer efficiency and experiment workflows
McKee, S.; Babik, M.; Campana, S.; Di Girolamo, A.; Wildish, T.; Closier, J.; Roiser, S.; Grigoras, C.; Vukotic, I.; Salichos, M.; De, K.; Garonne, V.; Cruz, J. A. D.; Forti, A.; Walker, C. J.; u. a.
2015. 21st International Conference on Computing in High Energy and Nuclear Physics (CHEP 2015), Okinawa, J, April 13-17, 2015
GridKa school - teaching information technologies since 2003
Ernst, M.; Hartmann, T.; Heiss, A.; Jung, C.; Meyer, J.; Nilsen, D.; Petzold, A.; Pfeiler, C. E.; Schaeffner, I.; Tao, J.; Weber, P.
2015. Proceedings of 2015 IEEE Global Engineering Conference (EDUCON), Tallinn, EST, March 18-20, 2015 Piscataway, N.J. : IEEE, 2015, 395–402. doi:10.1109/EDUCON.2015.7096003
Resilient FTS3 service at GridKa
Hartmann, T.; Bubeliene, J.; Hoeft, B.; Obholz, L.; Petzold, A.; Wisniewski, K.
2015. Journal of physics / Conference Series, 664 (6), 062019/1–7. doi:10.1088/1742-6596/664/6/062019
100G deployment @ (DE-KIT)
Hoeft, B.; Petzold, A.
2015. Journal of physics / Conference Series, 664 (5), 052017/1–8. doi:10.1088/1742-6596/664/5/052017
Integrating network and transfer metrics to optimize transfer efficiency and experiment workflows
McKee, S.; Babik, M.; Campana, S.; Di Girolamo, A.; Wildish, T.; Closier, J.; Roiser, S.; Grigoras, C.; Vukotic, I.; Salichos, M.; De, K.; Garonne, V.; Cruz, J. A. D.; Forti, A.; Walker, C. J.; u. a.
2015. Journal of physics / Conference Series, 664 (5), 052003/1–8. doi:10.1088/1742-6596/664/5/052003
The production deployment of IPv6 on WLCG
Bernier, J.; Campana, S.; Chadwick, K.; Chudoba, J.; Dewhurst, A.; Elias, M.; Fayer, S.; Finnern, T.; Grigoras, C.; Hartmann, T.; Hoeft, B.; Idiculla, T.; Kelsey, D. P.; Lopez-Munoz, F.; Macmahon, E.; u. a.
2015. Journal of physics / Conference Series, 664, 052018/1–8. doi:10.1088/1742-6596/664/5/052018
Preparing HPC applications for exascale: challenges and recommendations
Abraham, E.; Bekas, C.; Brandic, I.; Genaim, S.; Broch Johnsen, E.; Kondov, I.; Pilana, S.; Streit, A.
2015. 18th International Conference on Network-Based Information Systems (NBiS), Taipei, Taiwan, September 2-4, 2015
Preparing HPC applications for Exascale: challenges and recommendations
Abraham, E.; Bekas, C.; Brandic, I.; Genaim, S.; Johnsen, E. B.; Kondov, I.; Pllana, S.; Streit, A.
2015. 18th International Conference on Network-Based Information Systems, NBis 2015, Taipei, Taiwan, September 2-4, 2015, Barolli, L. [Hrsg.] Proceedings of the 18th International Conference on Network-Based Information Systems (NBiS), Taipei, Taiwan, September 2-4, 2015 Los Alamitos, Calif. : IEEE Computer Society, 2015, 401–406, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/NBiS.2015.61
Multicore job scheduling in the worldwide LHC computing grid
Forti, A.; Perez-Calero Yzquierdo, A.; Hartmann, T.; Alef, M.; Lahiff, A.; Templon, J.; Dal Pra, S.; Gila, M.; Skipsey, S.; Acosta-Silva, C.; Filipcic, A.; Walker, R.; Walker, C. J.; Traynor, D.; Gadrat, S.
2015. Journal of physics / Conference Series, 664 (6), 062016/1–8. doi:10.1088/1742-6596/664/6/062016
Progress in Multi-Disciplinary Data Life Cycle Management
Jung, C.; Gasthuber, M.; Giesler, A.; Hardt, M.; Meyer, J.; Prabhune, A.; Rigoll, F.; Schwarz, K.; Streit, A.
2015. Journal of physics / Conference Series, 664, 032018. doi:10.1088/1742-6596/664/3/032018
On a new approach to the index selection problem using mining algorithms
Ameri, P.; Meyer, J.; Streit, A.
2015. 2015 IEEE International Conference on Big Data, Santa Clara, Calif., October 29 - November 1, 2015
Results of HS06 scaling studies at KIT
Alef, M.
2015. Monthly Meeting of the WLCG Grid Deployment Board, CERN, Geneve, CH, December 9, 2015
On a new approach to the index selection problem using mining algorithms
Ameri, P.; Meyer, J.; Streit, A.
2015. Proceedings of the 2015 IEEE International Conference on Big Data, Santa Clara, Calif., October 29 - November 1, 2015. Ed.: H. Ho, 2801–2910, IEEE Computer Society. doi:10.1109/BigData.2015.7364084
ICON-ART 1.0 - A new online-coupled model system from the global to regional scale
Rieger, D.; Bangert, M.; Bischoff-Gauss, I.; Förstner, J.; Lundgren, K.; Reinert, D.; Schröter, J.; Vogel, H.; Zängl, G.; Ruhnke, R.; Vogel, B.
2015. Geoscientific model development, 8 (6), 1659–1676. doi:10.5194/gmd-8-1659-2015
Data processing of high-rate low-voltage distribution grid recordings for smart grid monitoring and analysis
Maaß, H.; Cakmak, H. K.; Bach, F.; Mikut, R.; Harrabi, A.; Süß, W.; Jakob, W.; Stucky, K.-U.; Kühnapfel, U. G.; Hagenmeyer, V.
2015. EURASIP journal on advances in signal processing, 2015 (1), 1–21. doi:10.1186/s13634-015-0203-4
High performance data analysis via coordinated caches
Fischer, M.; Metzlaff, C.; Kühn, E.; Giffels, M.; Quast, G.; Jung, C.; Hauth, T.
2015. 21st International Conference on Computing in High Energy and Nuclear Physics (CHEP 2015), Okinawa, J, April 13-17, 2015
Active job monitoring in pilots
Kuehn, E.; Fischer, M.; Giffels, M.; Jung, C.; Petzold, A.
2015. 21st International Conference on Computing in High Energy and Nuclear Physics (CHEP 2015), Okinawa, J, April 13-17, 2015
CloudBench - A framework for distributed, self-organizing, continuous and topology-aware IaaS cloud benchmarking with super-peer networks
Krauß, P.; Kurze, T.; Streit, A.
2015. Proceedings of the IEEE 11th International Conference on eScience, München, August 31 - September 4, 2014 Los Alamitos, Calif. : IEEE Computer Society, 2015, 273–278. doi:10.1109/eScience.2015.14
High performance data analysis via coordinated caches
Fischer, M.; Metzlaff, C.; Kühn, E.; Giffels, M.; Quast, G.; Jung, C.; Hauth, T.
2015. Journal of physics / Conference Series, 664 (9), 092008/1–8. doi:10.1088/1742-6596/664/9/092008
Active job monitoring in pilots
Kuehn, E.; Fischer, M.; Giffels, M.; Jung, C.; Petzold, A.
2015. Journal of physics / Conference Series, 664 (5), 052019/1–8. doi:10.1088/1742-6596/664/5/052019
A utility-based approach for customised cloud service selection
Jrad, F.; Tao, J.; Streit, A.; Knapper, R.; Flath, C.
2015. International journal of computational science and engineering, 10 (1), 32–44. doi:10.1504/IJCSE.2015.067056
Progress in multi-disciplinary data life cycle management
Jung, C.; Gasthuber, M.; Giesler, A.; Hardt, M.; Meyer, J.; Prabhune, A.; Rigoli, F.; Schwarz, K.; Streit, A.
2015. 21st International Conference on Computing in High Energy and Nuclear Physics (CHEP2015), Okinawa, J, April 13-17, 2015
A horizontally-scalable multiprocessing platform based on Node.js
Maatouki, A.; Meyer, J. T.; Szuba, M.; Streit, A.
2015. 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015; Helsinki; Finland; 20 August 2015 - 22 August 2015, 100–107, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/Trustcom.2015.618
Partitioning and budget of inorganic and organic chlorine species observed by MIPAS-B and TELIS in the Arctic in March 2011
Wetzel, G.; Oelhaf, H.; Birk, M.; Lange, A. de; Engel, A.; Friedl-Vallon, F.; Kirner, O.; Kleinert, A.; Maucher, G.; Nordmeyer, H.; Orphal, J.; Ruhnke, R.; Sinnhuber, B.-M.; Vogt, P.
2015. Atmospheric chemistry and physics, 15 (14), 8065–8076. doi:10.5194/acp-15-8065-2015
Direct-Coupling Analysis of nucleotide coevolution facilitates RNA secondary and tertiary structure prediction
De Leonardis, E.; Lutz, B.; Ratz, S.; Cocco, S.; Monasson, R.; Schug, A.; Weigt, M.
2015. Nucleic Acids Research, 43 (21), 10444–10455. doi:10.1093/nar/gkv932
Analyzing data flows of WLCG jobs at batch job level
Kuehn, E.; Fischer, M.; Giffels, M.; Jung, C.; Petzold, A.
2015. Journal of Physics: Conference Series, 608, 1–6. doi:10.1088/1742-6596/608/1/012017
100G deployment @ (DE-KIT)
Hoeft, B.; Petzold, A.
2015. 21st International Conference on Computing in High Energy and Nuclear Physics (CHEP 2015), Okinawa, J, April 13-17, 2015
Tier 3 batch system data locality via managed caches
Fischer, M.; Giffels, M.; Jung, C.; Kühn, E.; Quast, G.
2015. Journal of physics / Conference Series, 608 (1), Art.Nr. 012018/1–5. doi:10.1088/1742-6596/608/1/012018
Protein and RNA structure prediction by integration of Co-evolutionary information into molecular simulation
De Leonardis, E.; Lutz, B.; Cocco, S.; Monasson, R.; Szurmant, H.; Weigt, M.; Schug, A.
2015. 59th Biophysical Society Annual Meeting (2015), Baltimore, MD, USA, 7.–11. Februar 2015
Monte Carlo simulation of Wnt propagation by a novel transport mechanism complementing a joint experiment study
Sinner, C.; Stanganello, E.; Hagemann, A. I. H.; Mates, B.; Meyen, D.; Weber, S.; Raz, E.; Scholpp, S.; Schug, A.
2015. Biophysical Society 59th Annual Meeting, Baltimore, Md., February 7-11, 2015 Biophysical Journal, 108(2015) Suppl.1, a (Abstract)
Interaction networks in protein folding via atomic-resolution experiments and long-time-scale molecular dynamics simulations
Sborgi, L.; Verma, A.; Piana, S.; Lindorff-Larsen, K.; Cerminara, M.; Santiveri, C. M.; Shaw, D. E.; Alba, E. de; Munoz, V.
2015. Journal of the American Chemical Society, 137, 6506–6516. doi:10.1021/jacs.5b02324
Integrating molecular dynamics simulations with chemical probing experiments using SHAPE-FIT
Kirmizialtin, S.; Hennelly, S. P.; Schug, A.; Onuchic, J. N.; Sanbonmatsu, K. Y.
2015. Methods in enzymology, Kelman, Z. [Hrsg.] Isotope Labeling of Biomolecules : Labeling Methods Amsterdam [u.a.] : Elsevier / Academic Press, 2015 (Methods in Enzymology ; 553), 553, 215–234. doi:10.1016/bs.mie.2014.10.061
Grid engine at GridKa
Alef, M.
2015. HEPiX Spring 2015 Workshop, Oxford, GB, March 23-27, 2015
Fast benchmarks
Michelotto, M.; Alef, M.
2015. HEPiX Spring 2015 Workshop, Oxford, GB, March 23-27, 2015
HS06+ benchmark update
Alef, M.; Michelotto, M.
2015. Monthly Meeting of the WLCG Grid Deployment Board, Geneve, CH, January 14, 2015
Multicore job scheduling in the worldwide LHC computing grid
Forti, A.; Perez-Calero Yzquierdo, A.; Hartmann, T.; Alef, M.; Lahiff, A.; Templon, J.; Dal Pra, S.
2015. 21st International Conference on Computing in High Energy and Nuclear Physics (CHEP 2015), Okinawa, J, April 13-17, 2015
Beyond HS06: Toward a new HEP CPU benchmark. Update March 2015
Alef, M.; Michelotto, M.
2015. HEPiX Spring 2015 Workshop, Oxford, GB, March 23-27, 2015
The production deployment of IPv6 on WLCG
Bernier, J.; Campana, S.; Chadwick, K.; Chudoba, J.; Dewhurst, A.; Elias, M.; Fayer, S.; Finnern, T.; Grigoras, C.; Hartmann, T.; Hoeft, B.; Idiculla, T.; Kelsey, D. P.; Lopez-Munoz, F.; Macmahon, E.; u. a.
2015. 21st International Conference on Computing in High Energy and Nuclear Physics (CHEP 2015), Okinawa, J, April 13-17, 2015
Resilient FTS3 service at GridKa
Hartmann, T.; Bubeliene, J.; Hoeft, B.; Obholz, L.; Petzold, A.; Wisniewski, K.
2015. 21st International Conference on Computing in High Energy and Nuclear Physics (CHEP 2015), Okinawa, J, April 13-17, 2015
Grid engine at GridKa
Alef, M.
2015. HEPiX Spring 2015 Workshop, Oxford, GB, March 23-27, 2015 Transparencies publ.online
Fast benchmarks
Michelotto, M.; Alef, M.
2015. HEPiX Spring 2015 Workshop, Oxford, GB, March 23-27, 2015 Transparencies publ.online
HS06+ benchmark update
Alef, M.; Michelotto, M.
2015. Monthly Meeting of the WLCG Grid Deployment Board, Geneve, CH, January 14, 2015 Transparencies publ.online
Multicore job scheduling in the worldwide LHC computing grid
Forti, A.; Perez-Calero Yzquierdo, A.; Hartmann, T.; Alef, M.; Lahiff, A.; Templon, J.; Dal Pra, S.
2015. 21st International Conference on Computing in High Energy and Nuclear Physics (CHEP 2015), Okinawa, J, April 13-17, 2015 Transparencies publ.online
Beyond HS06: Toward a new HEP CPU benchmark. Update March 2015
Alef, M.; Michelotto, M.
2015. HEPiX Spring 2015 Workshop, Oxford, GB, March 23-27, 2015 Transparencies publ.online
Generalized effective-medium model for the carrier mobility in amorphous organic semiconductors
Rodin, V.; Symalla, F.; Meded, V.; Friederich, P.; Danilov, D.; Poschlad, A.; Nelles, G.; Wrochem, F. von; Wenzel, W.
2015. Physical Review B, 91 (15), Article no: 155203. doi:10.1103/PhysRevB.91.155203
Forwarding authentication from web-based identity federation to non web-based applications with Kerberos
Bersenev, A.; Hayrapetyan, A.; Hardt, M.
2015. 10th International Joint Conference on Software Technology (ICSOFT-PT 2015), Colmar, F, July 20-22, 2015
Analysis of the surface structure and catalytic behavior of Cr-modified Ni surfaces for fuel cells
Faubert, P.; Kondov, I.; Müller, C.; Reinecke, H.; Smyrek, P.; Proell, J.; Pfleging, W.
2015. 66th Annual Meeting of the International Society of Electrochemistry (ISE 2015), Taipei, Taiwan, October 4-9, 2015
Modelling, simulation and characterization of electrocatalytic oxygen reduction on Cr-modified Ni surfaces
Kondov, I.; Faubert, P.; Müller, C.; Reinecke, H.
2015. 66th Annual Meeting of the International Society of Electrochemistry (ISE 2015), Taipei, Taiwan, October 4-9, 2015
Multiscale simulation of organic electronics via massive nesting of density functional theory computational kernels
Poschlad, A.; Friederich, P.; Strunk, T.; Wenzel, W.; Kondov, I.
2015. International Conference on Computational Science (ICCS 2015), Reykjavik, IS, June 1-3, 2015
Benchmark of a cubieboard cluster
Schnepf, M. J.; Gudu, D.; Rische, B.; Fischer, M.; Jung, C.; Hardt, M.
2015. 21st International Conference on Computing in High Energy and Nuclear Physics (CHEP 2015), Okinawa, J, April 13-17, 2015
Optimizing electrocatalytic oxygen reduction reaction using density functional theory
Kondov, I.; Faubert, P.; Reinecke, H.; Müller, C.
2015. 2.bwHPC-Symposium, Ulm, October 2, 2015
A horizontally-scalable multiprocessing platform based on Node.js
Maatouki, A.; Szuba, M.; Meyer, J.; Streit, A.
2015. 13th IEEE International Symposium on Parallel and Distributed Processing with Applications (IEEE ISPA-15), Helsinki, SF, August 20-22, 2015
A Simulation Model for Analysis of Attacks on the Bitcoin Peer-to-Peer Network
Neudecker, T.; Andelfinger, P.; Hartenstein, H.
2015. 1st IEEE/IFIP Workshop on Security for Emerging Distributed Network Technologies (DISSECT), 15th May 2015, Ottawa, Canada. Ed.: R. Badonnel, 1327–1332, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/INM.2015.7140490
The comparison of ground-based FTIR measurements and EMAC model simulation of trace-gases columns near St.Peterburg in 2009-2013
Virolainen, Y.; Makarova, M.; Ionov, D.; Polyakov, A.; Kirner, O.; Timofeyev, Y.; Poberovsky, A.; Imhasin, H.
2015. European Geosciences Union (EGU) General Assembly, Wien, A, April 12-17, 2015 Geophysical Research Abstracts, 17(2015) EGU2015-8050
Atmospheric methane variability at the Peterhof station (Russia): ground-based observations and modeling
Makarova, M.; Kirner, O.; Poberovskii, A.; Imhasin, H.; Timofeyev, Y.; Virolainen, Y.; Makarov, B.
2015. European Geosciences Union (EGU) General Assembly, Wien, A, April 12-17, 2015 Geophysical Research Abstracts, 17(2015) EGU2015-7623
Relative roles of different types of PSC to Antarctiv ozone depletion in polar spring caused by chlorine activation and denitrification
Kirner, O.; Müller, R.; Khosrawi, F.; Ruhnke, R.
2015. European Geosciences Union (EGU) General Assembly, Wien, A, April 12-17, 2015 Geophysical Research Abstracts, 17(2015) EGU2015-1967
Chemistry-climate interactions of stratospheric and mesospheric ozone in EMAC long-term simulations with different boundary conditions for CO₂, CH₄, N₂O, and ODS
Kirner, O.; Ruhnke, R.; Sinnhuber, B. M.
2015. European Geosciences Union (EGU) General Assembly, Wien, A, April 12-17, 2015 Geophysical Research Abstracts, 17(2015) EGU2015-1968
Annual cycle and long-term trend of the methane total column in the atmosphere over the St. Petersburg region
Makarova, M. V.; Kirner, O.; Timofeev, Y. M.; Poberovskii, A. V.; Imkhasin, K. K.; Osipov, S. I.; Makarov, B. K.
2015. Izvestiya / Atmospheric and oceanic physics, 51 (4), 431–438. doi:10.1134/S0001433815040088
Massively parallel code to search for gravitational waves from rotating neutron stars in advanced detector data
Poghosyan, G.; Matta, S.; Streit, A.; Bolek, J.; Bejger, M.; Krolak, A.
2015. PRACE Scientific and Industrial Conference 2015 (PRACEdays15), Dublin, May 26-29,2015
High-pressure hydrogen vessel simulations with the computational fluid dynamics code GASFLOW
Piccioni Koch, D.; Travis, J. R.
2015. Energy, Science and Technology, Conference and Exhibition (EST 2015), Karlsruhe, Deutschland, 20.–22. Mai 2015
Condensation assisted fine dust separation
Hamberger, P.; Schaber, K.; Piccioni Koch, D.; Daumann, B.; Sachweh, B.; Haller, F.; Rippberger, S.
2015. EST 2015 - Energy, Science and Technology, Karlsruhe, May 20-22, 2015
GASFLOW simulations for cryogenic tank loss of vacuum scenarios
Travis, J. R.; Piccioni Koch, D.
2015. Journal of Energy Challenges and Mechanics, 2 (2), 29–37
GASFLOW analysis for the HySIM hydrogen refueling benchmark
Travis, J. R.; Piccioni Koch, D.
2015. Journal of energy storage, 2, 47–53. doi:10.1016/j.est.2015.06.002
High-pressure Hydrogen Vessel Simulations with the Computational Fluid Dynamics Code GASFLOW
Travis, J. R.; Koch, P.
2015. Energy, Science and Technology, Conference and Exhibition (EST 2015), Karlsruhe, Deutschland, 20.–22. Mai 2015
Model-Based Concurrency Analysis of Network Simulations
Andelfinger, P.; Hartenstein, H.
2015. Proceedings of the ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (PADS), London, United Kingdom, Juni 2015, 223–234, Association for Computing Machinery (ACM). doi:10.1145/2769458.2769464
ICON-ART 1.0 - a new online-coupled model system from the global to regional scale
Rieger, D.; Bangert, M.; Bischoff-Gauss, I.; Förstner, J.; Lundgren, K.; Reinert, D.; Schröter, J.; Vogel, H.; Zängl, G.; Ruhnke, R.; Vogel, B.
2015. Geoscientific model development discussions, 8 (1), 567–614. doi:10.5194/gmdd-8-567-2015
Analysis of methane total column variations in the atmosphere near St.Petersburg using ground-based measurements and simulations
Makarova, M. V.; Kirner, O.; Timofeev, Y. M.; Poberovskii, A. V.; Imkhasin, K. K.; Osipov, S. I.; Makarov, B. K.
2015. Izvestiya / Atmospheric and oceanic physics, 51 (2), 177–185. doi:10.1134/S0001433815010089
Partitioning and budget of inorganic and organic chlorine species observed by MIPAS-B and TELIS in the Arctic in March 2011
Wetzel, G.; Oelhaf, H.; Birk, M.; Lange, A. de; Engel, A.; Friedl-Vallon, F.; Kirner, O.; Kleinert, A.; Maucher, G.; Nordmeyer, H.; Orphal, J.; Ruhnke, R.; Sinnhuber, B.-M.; Vogt, P.
2015. Atmospheric chemistry and physics / Discussions, 15 (4), 5391–5422. doi:10.5194/acpd-15-5391-2015
Chlorine nitrate in the atmosphere over St.Petersburg
Virolainen, Y. A.; Timofeyev, Y. M.; Poberovskii, A. V.; Kirner, O.; Hoepfner, M.
2015. Izvestiya / Atmospheric and oceanic physics, 51, 49–56. doi:10.1134/S0001433815010119
High-level support activities of simulation laboratory E&A particles
Poghosyan, G.; Sharma, S.; Kaur, A.; Jindal, V.; Bisht, P.; Streit, A.; Bejger, M.; Krolak, A.; Klaehn, T.; Typjel, S.; Oehlschläger, J.; Pierog, T.; Engel, R.
2015. Nagel, W.E. [Hrsg.] High Performance Computing in Science and Engineering ’14 : Transactions of the High Performance Computing Center, Stuttgart (HLRS), 2014, 121–123, Springer. doi:10.1007/978-3-319-10810-0_9
Future of Monte Carlo simulations of atmospheric showers
Pierog, T.; Engel, R.; Heck, D.; Poghosyan, G.
2015. The European physical journal / Web of Conferences, 89, 01003/1–7. doi:10.1051/epjconf/20158901003
Architecture, implementation and parallization of the software to search for periodic gravitational wave signals
Poghosyan, G.; Matta, S.; Streit, A.; Bejger, M.; Krolak, A.
2015. Computer physics communications, 188, 167–176. doi:10.1016/j.cpc.2014.10.025
Illusion-related brain activations: A new virtual reality mirror box system for use during functional magnetic resonance imaging
Diers, M.; Kamping, S.; Kirsch, P.; Rance, M.; Bekrater-Bodmann, R.; Foell, J.; Trojan, J.; Fuchs, X.; Bach, F.; Maaß, H.; Cakmak, H.; Flor, H.
2015. Brain Research, 1594, 173–182. doi:10.1016/j.brainres.2014.11.001
Filopodia-based Wnt transport during vertebrate tissue patterning
Stanganello, E.; Hagemann, A. I. H.; Mattes, B.; Sinner, C.; Meyen, D.; Weber, S.; Schug, A.; Raz, E.; Scholpp, S.
2015. Nature Communications, 6, 5846/1–14. doi:10.1038/ncomms6846
The effect of anharmonicities on the atomic dynamics: A molecular dynamics study for liquid sodium
Schmidmeier, K. H.; Brandel, T.; Schommers, W.; Meletis, E.; Politis, C.; Poulopoulos, P.
2015. Quantum Matter, 4, 98–103. doi:10.1166/qm.2015.1176
SLA enactment for large-scale healthcare workflows on multi-cloud
Jrad, F.; Tao, J.; Brandic, I.; Streit, A.
2015. Future generation computer systems, 43-44, 135–148. doi:10.1016/j.future.2014.07.005
Confidential database-as-a-service approaches: taxonomy and survey
Köhler, J.; Jünemann, K.; Hartenstein, H.
2015. Journal of Cloud Computing, 4 (1), 1–14. doi:10.1186/s13677-014-0025-1
Contribution of liquid, NAT and ice particles to chlorine activation and ozone depletion in Antarctic winter and spring
Kirner, O.; Müller, R.; Ruhnke, R.; Fischer, H.
2015. Atmospheric Chemistry and Physics, 15 (4), 2019–2030. doi:10.5194/acp-15-2019-2015
An ensemble-averaged, cell density-based digital model of zebrafish embryo development derived from light-sheet microscopy data with single-cell resolution
Kobitski, A. Y.; Otte, J. C.; Takamiya, M.; Schäfer, B.; Mertes, J.; Stegmaier, J.; Rastegar, S.; Rindone, F.; Hartmann, V.; Stotzka, R.; Garcia, A.; Wezel, J. van; Mikut, R.; Strähle, U.; Nienhaus, G. U.
2015. Scientific Reports, 5 (8601), 1–10. doi:10.1038/srep08601
Designing Fail-Safe and Traffic Efficient 802.11p-based Rear-End Collision Avoidance
An, N.; Mittag, J.; Hartenstein, H.
2015. 2014 IEEE Vehicular Networking Conference, VNC 2014; Paderborn; Germany; 3 December 2014 through 5 December 2014, 9–16, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/VNC.2014.7013303
Exploiting the Parallelism of Large-Scale Application-Layer Networks by Adaptive GPU-Based Simulation
Andelfinger, P.; Hartenstein, H.
2015. Proceedings of the 2014 Winter Simulation Conference (WSC’14), December 7 - 10, 2014, Savannah, Georgia, USA. Ed.: A. Tolk, 3471–3482, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/WSC.2014.7020179
Index Optimization for L-Diversified Database-as-a-Service
Köhler, J.; Hartenstein, H.
2015. 9th International Workshop on Data Privacy Management, DPM 2014, 7th International Workshop on Autonomous and Spontaneous Security, SETOP 2014 and 3rd International Workshop on Quantitative Aspects in Security Assurance, QASA 2014 held in conjunction with 19th Annual European Research Event in Computer Security Symposium, ESORICS 2014; Wroclaw; Poland; 10 September 2014 through 11 September 2014. Ed.: J. Posegga, 114–132, Springer. doi:10.1007/978-3-319-17016-9_8
2014
Inter-vehicle Communication: Quo Vadis. Report from Dagstuhl Seminar 13392
Dressler, F.; Hartenstein, H.; Altintas, O.; Tonguz, O. (Hrsg.)
2014. Dagstuhl Seminar 13392 - Inter-Vehicular Communication - Quo Vadis. Schloss Dagstuhl, Germany, 22.-25.09.2013, 190–213, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (LZI). doi:10.4230/DagRep.3.9.190
HPC and simulations: Teaching the unteachable? Relaying HPC knowledge at secondary schools - Progress report
Hilpert, J.; Berlich, R.; Lürßen, P.; Zwölfer, A.; Barwind, J.
2014. Proceedings of Science, 210, 036/1–10
CloudBench - A framework for distributed, self-organizing, continuous and topology-aware IaaS cloud benchmarking with super-peer networks
Krauß, P.; Kurze, T.; Streit, A.
2014. IEEE 11th International Conference on eScience, München, August 31 - September 4, 2014
Monitoring data streams at process level in scientific big data batch clusters
Kuehn, E.; Fischer, M.; Jung, C.; Petzold, A.; Streit, A.
2014. Proceedings of the International Symposium on Big Data Computing (BDC 2014), London, UK, December 8-9, 2014, 90–952, IEEE Computer Society. doi:10.1109/BDC.2014.21
Tier 3 batch system data locality via managed caches
Fischer, M.; Giffels, M.; Jung, C.; Kühn, E.; Quast, G.
2014. 16th International workshop on Advanced Computing and Analysis Techniques in physics research (ACAT), Praha, CZ, September 1-5, 2014
Status Report of bwFDM-Communities – A State Wide Research Data Management Initiative
Tristram, F.; Wehrle, D.; Cayoglu, U.; Rex, J.; Suchodoletz, D. von
2014. Informatik 2014 - Big Data - Komplexität meistern; 44. Jahrestagung der Gesellschaft für Informatik, Stuttgart, 22.-26. September 2014. Ed.: E. Plödereder, 1669–1673, Ges. für Informatik
Research Data Management within the e-Science Strategy in Baden-Württemberg. Preliminary Results of Project bwFDM-Communities
Cayoglu, U.; Shcherbakov, D.; Tristram, F.
2014. 2nd Data Management Workshop, Köln, 28.-29. November 2014
On the application and performance of MongoDB for climate satellite data
Ameri, P.; Grabowski, U.; Meyer, J.; Streit, A.
2014. 13th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom 2014), Beijing, China, September 24-26, 2014
On the application and performance of MongoDB for climate satellite data
Ameri, P.; Grabowski, U.; Meyer, J.; Streit, A.
2014. Proceedings of the 13th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom 2014), Beijing, CHN, September 24-26, 2014, 652–659, IEEE Computer Society. doi:10.1109/TrustCom.2014.84
The photolysis module JVAL-14, compatible with the MESSy standard, and the JVal PreProcessor (JVPP)
Sander, R.; Jöckel, P.; Kirner, O.; Kunert, A. T.; Landgraf, J.; Pozzer, A.
2014. Geoscientific model development, 7 (6), 2653–2662. doi:10.5194/gmd-7-2653-2014
The Importance of Synchrony and Temporal Order of Visual and Tactile Input for Illusory Limb Ownership Experiences : An fMRI Study Applying Virtual Reality
Bekrater-Bodmann, R.; Foell, J.; Diers, M.; Kamping, S.; Rance, M.; Kirsch, P.; Trojan, J.; Fuchs, X.; Bach, F.; Çakmak, H. K.; Maaß, H.; Flor, H.
2014. PLoS one, 9 (1), Art. Nr. e87013. doi:10.1371/journal.pone.0087013
High-level support activities of simulation laboratory E&A particles
Poghosyan, G.; Sharma, S.; Kaur, A.; Jindal, V.; Bisht, P.; Streit, A.; Bejger, M.; Krolak, A.; Klaehn, T.; Typjel, S.; Oehlschläger, J.; Pierog, T.; Engel, R.
2014. Results and Review Workshopü of the HLRS, Stuttgart, September 29-30, 2014
Monitoring data streams at process level in scientific big data batch clusters
Kuehn, E.; Fischer, M.; Jung, C.; Petzold, A.; Streit, A.
2014. International Symposium on Big Data Computing (BDC 2014), London, GB, December 8-9, 2014
Highly Selective Dispersion of Single-Walled Carbon Nanotubes via Polymer Wrapping: A Combinatorial Study via Modular Conjugation
Gerstel, P.; Klumpp, S.; Hennrich, F.; Poschlad, A.; Meded, V.; Blasco, E.; Wenzel, W.; Kappes, M. M.; Barner-Kowollik, C.
2014. ACS macro letters, 3 (1), 10–15. doi:10.1021/mz400472q
Selective Dispersion of Large-Diameter Semiconducting Single-Walled Carbon Nanotubes with Pyridine-Containing Copolymers
Berton, N.; Lemasson, F.; Poschlad, A.; Meded, V.; Tristram, F.; Wenzel, W.; Hennrich, F.; Kappes, M. M.; Mayor, M.
2014. Small, 10 (2), 360–367. doi:10.1002/smll.201301295
Native structure-based modeling and simulation of biomolecular systems per mouse click
Lutz, B.; Sinner, C.; Bozic, S.; Kondov, I.; Schug, A.
2014. BMC Bioinformatics, 15 (1), 292/1–12. doi:10.1186/1471-2105-15-292
KIT site report
Petzold, A.
2014. HEPiX Fall 2014 Workshop, Lincoln, Neb., October 13-17, 2014
Monte Carlo simulations of atmospheric showers in the future
Pierog, T.; Engel, R.; Heck, D.; Pierog, T.; Poghosyan, G.; Ulrich, R.
2014. AtmoHead 2014 : Atmospheric Monitoring for High-Energy Astroparticle Detectors, Padova, I, May 19-21, 2014
Simulation of extensive air showers. Hadronic interaction models and LHC
Baus, C.; Engel, R.; Heck, D.; Pierog, T.; Poghosyan, G.; Ulrich, R.
2014. Meeting of the Astroparticle Physics Community in Germany, Karlsruhe, September 30 - October 1, 2014
SLIM: An Improved Generalized Born Implicit Membrane Model
Setzler, J.; Seith, C.; Brieg, M.; Wenzel, W.
2014. Journal of computational chemistry, 35, 2027–2039. doi:10.1002/jcc.23717
Network robustness: the whole story
Longjas, A.; Tejedor, A.; Zaliapin, I.; AMbroj, S.; Foufouda-Georgiou, E.
2014. AGU Fall Meeting 2014, San Francisco, Calif., December 15-19, 2014
Multi-core job support (UGE) at GridKa
Alef, M.
2014. HEPiX Spring 2014 Workshop, Annecy, F, May 19-23, 2014
GridKa multicore job status
Alef, M.; Hartmann, T.
2014. HEPiX Spring 2014 Workshop, Annecy, F, May 19-23, 2014
Fast benchmark
Michelotto, M.; Alef, M.
2014. HEPiX Spring 2014 Workshop, Annecy, F, May 19-23, 2014
HS14 preparation: Current status
Alef, M.; Michelotto, M.
2014. HEPiX Spring 2014 Workshop, Annecy, F, May 19-23, 2014
Toward a new HEP CPU benchmark. Summary of discussions and remarks
Alef, M.; Michelotto, M.
2014. HEPiX Spring 2014 Workshop, Annecy, F, May 19-23, 2014
Experiences with Grid engine (UGE) at GridKa
Alef, M.
2014. HEPiX Spring 2014 Workshop, Annecy, F, May 19-23, 2014
Toward a new HEP CPU benchmark
Alef, M.; Michelotto, M.
2014. HEPiX Spring 2014 Workshop, Annecy, F, May 19-23, 2014
Beyond HS06: Toward a new HEP CPU benchmark
Alef, M.; Michelotto, M.
2014. HEPiX Spring 2014 Workshop, Annecy, F, May 19-23, 2014
KIT site report
Alef, M.; Petzold, A.; Schlitter, N.; Weber, P.; Wezel, J. van
2014. HEPiX Spring 2014 Workshop, Annecy, F, May 19-23, 2014
Multi-core job support (UGE) at GridKa
Alef, M.
2014. HEPiX Spring 2014 Workshop, Annecy, F, May 19-23, 2014 Transparencies publ.online
GridKa multicore job status
Alef, M.; Hartmann, T.
2014. HEPiX Spring 2014 Workshop, Annecy, F, May 19-23, 2014 Transparencies publ.online
Fast benchmark
Michelotto, M.; Alef, M.
2014. HEPiX Spring 2014 Workshop, Annecy, F, May 19-23, 2014 Transparencies publ.online
HS14 preparation: Current status
Alef, M.; Michelotto, M.
2014. HEPiX Spring 2014 Workshop, Annecy, F, May 19-23, 2014 Transparencies publ.online
Toward a new HEP CPU benchmark. Summary of discussions and remarks
Alef, M.; Michelotto, M.
2014. HEPiX Spring 2014 Workshop, Annecy, F, May 19-23, 2014 Transparencies publ.online
Experiences with Grid engine (UGE) at GridKa
Alef, M.
2014. HEPiX Spring 2014 Workshop, Annecy, F, May 19-23, 2014 Transparencies publ.online
Toward a new HEP CPU benchmark
Alef, M.; Michelotto, M.
2014. HEPiX Spring 2014 Workshop, Annecy, F, May 19-23, 2014 Transparencies publ.online
Beyond HS06: Toward a new HEP CPU benchmark
Alef, M.; Michelotto, M.
2014. HEPiX Spring 2014 Workshop, Annecy, F, May 19-23, 2014 Transparencies publ.online
KIT site report
Alef, M.; Petzold, A.; Schlitter, N.; Weber, P.; Wezel, J. van
2014. HEPiX Spring 2014 Workshop, Annecy, F, May 19-23, 2014 Transparencies publ.online
The GridKa Tier-1 computing center within the ALICE Grid framework
Park, W. J. J.; Jung, C.; Heiss, A.; Petzold, A.; Schwarz, K.
2014. Journal of physics / Conference Series, 513, 062038/1–5. doi:10.1088/1742-6596/513/6/062038
Anforderungen eines nachhaltigen, disziplinübergreifenden Forschungsdaten-Repositoriums
Potthoff, J.; Wezel, J. van; Razum, M.; Walk, M.
2014. 7.DFN-Forum Kommunikationstechnologien, Fulda, 16.-17.Juni 2014
Simulating biomolecular folding and function by native-structure-based/go-type models
Sinner, C.; Lutz, B.; John, S.; Reinartz, I.; Verma, A.; Schug, A.
2014. Israel journal of chemistry, 54, 1165–1175. doi:10.1002/ijch.201400012
Evaluating the performance and scalability of the Ceph distributed storage system
Gudu, D.; Hardt, M.; Streit, A.
2014. IEEE International Conference on Big Data 2014, Washington, D.C., October 27-30, 2014
Evaluating the performance and scalability of the Ceph distributed storage system
Gudu, D.; Hardt, M.; Streit, A.
2014. Proceedings of the IEEE International Conference on Big Data 2014, Washington, D.C., October 27-30, 2014. Ed.: J. Lin, 177–182, IEEE Computer Society. doi:10.1109/BigData.2014.7004229
Large scale in vivo imaging of the corneal sub-basal nerve plexus by guided eye movements
Allgeier, S.; Köhler, B.; Maier, S.; Peschel, S.; Reichert, K. M.; Stachs, O.; Wezel, J. van; Mikut, R.; Bretthauer, G.
2014. Biomedizinische Technik, 59 (s1), s572
Impact of acetone (photo)oxidation on HOx production in the UT/LMS based on CARIBIC passenger aircraft observations and EMAC simulations
Neumaier, M.; Ruhnke, R.; Kirner, O.; Ziereis, H.; Stratmann, G.; Brenninkmeijer, C. A. M.; Zahn, A.
2014. Geophysical research letters, 41, 3289–3297. doi:10.1002/2014GL059480
Radiative and dynamical contributions to past and future Arctic stratospheric temperature trends
Bohlinger, P.; Sinnhuber, B. M.; Ruhnke, R.; Kirner, O.
2014. Atmospheric chemistry and physics, 14, 1679–1688. doi:10.5194/acp-14-1679-2014
Electron-vibration interaction in the presence of a switchable Kondo resonance realized in a molecular junction
Rakhmilevitch, D.; Korytar, R.; Bagrets, A.; Evers, F.; Tal, O.
2014. Physical review letters, 113, 236603/1–6. doi:10.1103/PhysRevLett.113.236603
Device-driven metadata management solutions for scientific big data use cases
Grunzke, R.; Müller-Pfefferkorn, R.; Jäkel, R.; Starek, J.; Hardt, M.; Hartmann, V.; Potthoff, J.; Hesser, J.; Kepper, N.; Hausmann, M.; Gesing, S.; Kindermann, S.
2014. 22nd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, Torino, I, February 12-14, 2014
Device-driven metadata management solutions for scientific big data use cases
Grunzke, R.; Müller-Pfefferkorn, R.; Jäkel, R.; Starek, J.; Hardt, M.; Hartmann, V.; Potthoff, J.; Hesser, J.; Kepper, N.; Hausmann, M.; Gesing, S.; Kindermann, S.
2014. Proceedings of the 22nd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, Torino, I, February 12-14, 2014, 317–321, IEEE Computer Society. doi:10.1109/PDP.2014.119
Integration of eSBMTools into the MoSGRID portal using the gUSE technology
Bozic, S.; Krüger, J.; Sinner, C.; Lutz, B.; Schug, A.; Kondov, I.
2014. Proceedings of the 6th International Workshop on Science Gateways (IWSG 2014), Dublin, IRL, June 3-5, 2014, 85–90, IEEE Computer Society. doi:10.1109/IWSG.2014.21
An EMF-based toolkit for creation of domain-specific data services
Bender, A.; Bozic, S.; Kondov, I.
2014. 2nd International Conference on Model-Driven Engineering and Software Development (MODELSWARD 2014), Lisboa, P, January 7-9, 2014, 30–40, SciTePress. doi:10.5220/0004701900300040
An Implicit Solvent Model for Biomolecular Monte Carlo Simulations. Dissertation
Brieg, M.
2014. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000044641
Large scale in vivo imaging of the corneal sub-basal nerve plexus by guided eye movements
Allgeier, S.; Köhler, B.; Maier, S.; Peschel, S.; Reichert, K. M.; Stachs, O.; Wezel, J. van; Mikut, R.; Bretthauer, G.
2014. BMT 2014 : 48.Jahrestagung der Deutschen Gesellschaft für Biomedizinische Technik (DGBMT), Hannover, 8.-10.Oktober 2014
On Spatial Measures for Geotagged Social Media Contents
Wang, X.; Gaugel, T.; Keller, M.
2014. 5th International Workshop on Mining Ubiquitous and Social Environments, Nancy, France, September 15th, 2014
Appropriate Selection of Urban Vehicle-to-Vehicle Radio Propagation Models
Gaugel, T.; Hartenstein, H.
2014. 2014 21st IEEE Symposium on Communications and Vehicular Technology in the BeNeLux, IEEE SCVT 2014; Delft; Netherlands; 10 November 2014 through, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SCVT.2014.7046698
Using a vision cognitive algorithm to schedule virtual machines
Zhao, J.; Mhedheb, Y.; Tao, J.; Jrad, F.; Liu, Q.; Streit, A.
2014. International journal of applied mathematics and computer science, 24, 535–550. doi:10.2478/amcs-2014-0039
A security framework in G-Hadoop for big data computing across distributed Cloud data centres
Zhao, J.; Wang, L.; Tao, J.; Chen, J.; Sun, W.; Ranjan, R.; Kolodziej, J.; Streit, A.; Georgakopoulos, D.
2014. Journal of computer and system sciences, 80, 994–1007. doi:10.1016/j.jcss.2014.02.006
Management of meteorological mass data with MongoDB
Lutz, R.; Ameri, P.; Latzko, T.; Meyer, J.
2014. 28th International Conference on Informatics for Environmental Protection (ENVIROINFO 2014), Oldenburg, September 10-12, 2014
Management of meteorological mass data with MongoDB
Lutz, R.; Ameri, P.; Latzko, T.; Meyer, J.
2014. Proceedings of the 28th International Conference on Informatics for Environmental Protection (ENVIROINFO 2014), Oldenburg, September 10-12, 2014. Hrsg.: J. M. Gomez, 549–556, Verlag BIAS
Real-time Response Framework Using MongoDB and 3D Visualisation
Ameri, P.; Szuba, M.
2014. Large-Scale Data Management and Analysis (LSDMA) - Big Data in Science. Hrsg.: Ch. Jung, 28–29, Karlsruher Institut für Technologie (KIT)
Federated AAI: Enabling Collaboration
Millar, P.; Fuhrmann, patrick; Klein, D.; Hayrapetyan, A.; Hardt, M.
2014. Large-Scale Data Management and Analysis (LSDMA) - Big Data in Science. Hrsg.: Ch. Jung, 24–26, Karlsruher Institut für Technologie (KIT)
Editorial
Streit, A.
2014. Large-Scale Data Management and Analysis (LSDMA) - Big Data in Science. Hrsg.: Ch. Jung, 3, Karlsruher Institut für Technologie (KIT)
Large-Scale Data Management and Analysis (LSDMA) - Big Data in Science
Jung, C.; Streit, A. (Hrsg.)
2014. Karlsruher Institut für Technologie (KIT)
Large-Scale Data Management and Analysis - Big Data in Science
Streit, A.; Jung, C.
2014. Karlsruhe, 2014
Self-consistent charge carrier mobility calculation in organic semi-conductors with explicit polaron treatment
Friederich, P.; Kondov, I.; Meded, V.; Neumann, T.; Symalla, F.; Poschlad, A.; Emerson, A.; Rodin, V.; Von Wrochem, F.; Wenzel, W.
2014. PRACE Scientific and Industrial Conference, Barcelona, E, May 20-22, 2014
Efficient calculation of rate constants: Downhill versus uphill sampling
Klenin, K. V.
2014. The journal of chemical physics, 141, 074103/1–6. doi:10.1063/1.4892565
GASFLOW simulations of a bonfire test
Travis, J. R.; Piccioni Koch, D.
2014. International journal of hydrogen energy, 39, 13041–13047. doi:10.1016/j.ijhydene.2014.06.026
Inter-vehicle Communication: Quo Vadis
Dressler, F.; Hartenstein, H.; Altintas, O.; Tonguz, O.
2014. IEEE communications magazine, 52 (6), 170–177. doi:10.1109/MCOM.2014.6829960
GASFLOW simulations for cryogenic tank loss of vacuum scenarios
Travis, J. R.; Piccioni Koch, D.
2014. 1st International Symposium on Energy Challenges and Mechanics, Aberdeen, GB, July 8-10, 2014
GASFLOW analysis for the HySIM hydrogen refueling benchmark
Travis, J. R.; Piccioni Koch, D.
2014. 2nd International Congress on Energy Efficiency and Energy Related Materials (ENEFM), Ölüdeniz, TR, October 16-19, 2014
Point-of-use water treatment in rural karst region
Matthies, K.; Mendes de Oliveira, M.; Obst, U.
2014. Singapore International Water Week 2014, Singapore, SGP, June 1-5, 2014
A New Framework for the Analysis of Large Scale Multi-Rate Power Data
Çakmak, H.; Maass, H.; Bach, F.; Kühnapfel, U.
2014. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000042369
Featured "Single Sign-in" interface enabling Grid, cloud and local resources for HEP
Fischer, M.; Quast, G.; Zvada, M.
2014. Journal of physics / Conference Series, 513, Art.Nr. 032033. doi:10.1088/1742-6596/513/3/032033
Contribution of liquid, NAT and ice particles to chlorine activation and ozone depletion during Antarctic winter and spring
Kirner, O.; Müller, R.; Ruhnke, R.; Fischer, H.
2014. Atmospheric chemistry and physics / Discussions, 14 (10), 14833–14854. doi:10.5194/acpd-14-14833-2014
Preparing the electrical data recorder for comparative power network measurements
Maass, H.; Cakmak, H. K.; Bach, F.; Kühnapfel, U. G.
2014. Proceedings of IEEE International Energy Conference (EnergyCon 2014), Dubrovnik, HR, May 13-16, 2014, 759–765, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ENERGYCON.2014.6850511
Fast Segmentation of Stained Nuclei in Terabyte-Scale, Time Resolved 3D Microscopy Image Stacks
Stegmaier, J.; Otte, J. C.; Kobitski, A.; Bartschat, A.; Garcia, A.; Nienhaus, G. U.; Strähle, U.; Mikut, R.
2014. PLoS ONE, 9 (2), e90036/1–11. doi:10.1371/journal.pone.0090036
Using artificial neural network for monitoring and supporting the grid scheduler performance
Grzonka, D.; Kolodziej, J.; Tao, J.
2014. 28th European Conference on Modelling and Simulation (ECMS), Brescia, I, May 27-30, 2014
Optimization of data life cycles
Jung, C.; Gasthuber, M.; Giesler, A.; Hardt, M.; Meyer, J.; Rigoll, F.; Schwarz, K.; Stotzka, R.; Streit, A.
2014. Journal of physics / Conference Series, 513 (TRACK 3), Art. Nr.: 032047. doi:10.1088/1742-6596/513/3/032047
A geospatial data life cycle services framework
Meyer, J.; Ehbrecht, C.; Kindermann, S.; Kipp, T.
2014. European Geosciences Union (EGU) General Assembly, Wien, A, April 27 - May 2, 2014
Archival services and technologies for scientific data
Meyer, J.; Hardt, M.; Streit, A.; Wezel, J. van
2014. Journal of physics / Conference Series, 513, 062033/1–6. doi:10.1088/1742-6596/513/6/062033
FOSP: Towards a Federated Object Sharing Protocol that Unifies Operartions on Social Content
Maurer, F.; Labitzke, S.
2014. 7. DFN-Forum Kommunikationstechnologien : Beiträge der Fachtagung 16.06. - 17.06.2014 Fulda. Hrsg.: P. Müller [Konferenz], 57–66, Köllen Druck+Verlag
Anforderungen eines nachhaltigen, disziplinübergreifenden Forschungsdaten-Repositoriums
Potthoff, J.; Van Wezel, J.; Razum, M.; Walk, M.
2014. 7. DFN-Forum Kommunikationstechnologien : Beiträge der Fachtagung 16.06. - 17.06.2014 Fulda. Hrsg.: P. Müller, 11–20, Köllen Druck+Verlag
HS4MC : Hierarchical SLA-based service selection for multi-Cloud environments
Farokhi, S.; Jrad, F.; brandic, I.; Streit, A.
2014. 4th International Conference on Cloud Computing and Services Science (CLOSER 2014), Barcelona, E, April 3-5, 2014
Storage CloudSim : A simulation environment for cloud object storage infrastructures
Sturm, T.; Jrad, F.; Streit, A.
2014. 4th International Conference on Cloud Computing and Services Science (CLOSER 2014), Barcelona, E, April 3-5, 2014
Multi-dimensional resource allocation for data-intensive large-scale cloud applications
Jrad, F.; Tao, J.; Brandic, I.; Streit, A.
2014. 4th International Conference on Cloud Computing and Services Science (CLOSER 2014), Barcelona, E, April 3-5, 2014
HS4MC : Hierarchical SLA-based service selection for multi-Cloud environments
Farokhi, S.; Jrad, F.; Brandic, I.; Streit, A.
2014. 4th International Conference on Cloud Computing and Services Science (CLOSER 2014), Barcelona, E, April 3-5, 2014, 722–734, SciTePress
Storage CloudSim : A simulation environment for cloud object storage infrastructures
Sturm, T.; Jrad, F.; Streit, A.
2014. 4th International Conference on Cloud Computing and Services Science (CLOSER 2014), Barcelona, E, April 3-5, 2014 Proceedings , 2014, 186–192, SciTePress
Multi-dimensional resource allocation for data-intensive large-scale cloud applications
Jrad, F.; Tao, J.; Brandic, I.; Streit, A.
2014. 4th International Conference on Cloud Computing and Services Science (CLOSER 2014), Barcelona, E, April 3-5, 2014, 691–702, SciTePress
Understanding differences in MAC performance
Gaugel, T.; Mittag, J.; Hartenstein, H.; Ström, E.
2014. Proceeding of 15th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2014; Sydney; Australia; 19 June 2014 through, Art. Nr.: 6918995, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/WoWMoM.2014.6918995
FOSP: Towards a Federated Object Sharing Protocol that Unifies Operations on Social Content
Maurer, F.; Labitzke, S.
2014. 7. DFN-Forum Kommunikationstechnologien - 7th DFN Forum on Communication Technologies; Fulda; Germany; 16 June 2014 through 17 June 2014, 57–66, Gesellschaft für Informatik (GI)
Self-Optimization of DHT Lookups through Run-Time Performance Analysis
Jünemann, K.; Hartenstein, H.
2014. Proceedings of the 2014 International Conference on High Performance Computing and Simulation, HPCS 2014; Bologna; Italy; 21 July 2014 through 25 July 2014, 407–415, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/HPCSim.2014.6903714
SECURUS: Composition of Confidentiality Preserving Indexing Approaches for Secure Database-as-a-Service
Köhler, J.; Jünemann, K.; Hartenstein, H.
2014. Praxis der Informationsverarbeitung und Kommunikation, 37 (2), 149–155. doi:10.1515/pik-2014-0011
Technologies - Communication: Wireless LAN-Based Vehicular Communication
Festag, A.; Hartenstein, H.; Mittag, J.
2014. Encyclopedia of Automotive Engineering, online, John Wiley and Sons. doi:10.1002/9781118354179.auto170
Securus: From Confidentiality and Access Requirements to Data Outsourcing Solutions
Köhler, J.; Jünemann, K.
2014. Privacy and Identity Management for Emerging Services and Technologies : 8th IFIP WG 9.2, 9.5, 9.6/11.7, 11.4, 11.6 International Summer School, Nijmegen, The Netherlands, June 17-21, 2013. [Konferenz]. Ed.: M. Hansen, 139–149, Springer Verlag
Integration of eSBMTools into the MoSGRID portal using the gUSE technology
Bozic, S.; Krüger, J.; Sinner, C.; Lutz, B.; Schug, A.; Kondov, I.
2014. 6th International Workshop on Science Gateways (IWSG 2014), Dublin, IRL, June 3-5, 2014
Evaluation of wind energy potential over Thailand by using an atmospheric mesoscale model and a GIS approach
Janjai, S.; Masiri, I.; Promsen, W.; Pattarapanitchai, S.; Pankaew, P.; Laksanaboonsong, J.; Bischoff-Gauss, I.; Kalthoff, N.
2014. Journal of wind engineering and industrial aerodynamics, 129, 1–10. doi:10.1016/j.jweia.2014.03.010
Combining the X.509 and the SAML federated identity management systems
Hardt, M.; Hayrapetyan, A.; Millar, P.; Memon, S.
2014. 2nd International Conference on Security in Computer Networks and Distributed Systems, Trivandrum, IND, March 13-14, 2014
Combining the X.509 and the SAML Federated Identity Management Systems
Hardt, M.; Hayrapetyan, A.; Millar, P.; Memon, S.
2014. Recent Trends in Computer Networks and Distributed Systems Security : 2nd International Conference, SNDS 2014, Trivandrum, IND, 13.03.-14.03.2014. Hrsg.: G. Martinez Perez, 404–415, Springer Verlag
Differences between cotranscriptional and free riboswitch folding
Lutz, B.; Faber, M.; Verma, A.; Klumpp, S.; Schug, A.
2014. Nucleic Acids Research, 42 (4), 2687–2696. doi:10.1093/nar/gkt1213
SimLabs@KIT - advanced support fr simulations in astro- and particle physics
Poghosyan, G.
2014. VIRGO Arbeitskreis, Institute of Mathematics, Warszawa, PL, February 1, 2013
High-level support for simulations in astro- and elementary particle physics
Poghosyan, G.
2014. Three Days of Phase Transition in Compact Stars, Heavy-Ion Collisions and Supernovae : HECOLS Workshop and 32nd Max-Born Symposium, Wroclaw, PL, February 17-19, 2014
bwIDM - Federated Access to IT-Based Services at the Universities of the State of Baden-Württemberg
Köhler, J.; Labitzke, S.; Simon, M.; Dussa, T.; Nussbaumer, M.; Hartenstein, H.
2014. Praxis der Informationsverarbeitung und Kommunikation, 37 (1), 15–21. doi:10.1515/pik-2013-0025
An EMF-based toolkit for creation of domain-specific data services
Bender, A.; Bozic, S.; Kondov, I.
2014. 2nd International Conference on Model-Driven Engineering and Software Development (MODELSWARD 2014), Lisboa, P, January 7-9, 2014
Parallelism Potentials in Distributed Simulations of Kademlia-Based Peer-to-Peer Networks
Andelfinger, P.; Jünemann, K.; Hartenstein, H.
2014. Proceedings of the 7th International Conference on Simulation Tools and Techniques, SIMUTools 2014; Lisbon; Portugal; 17 March 2014 through 19 March 2014. Ed.: R. Roland, 41–50, ICST. doi:10.4108/icst.simutools.2014.254609
From Implicit to Explicit Knowledge: A Tool for Preserving and Sharing Mental Links in Science
Andelfinger, P.; Keller, M.; Kühner, H.; Hartenstein, H.
2014. Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2014), Baltimore, Maryland, USA, 15-19 Februar 2014, 129–132, Association for Computing Machinery (ACM). doi:10.1145/2556420.2556476
Spoilt for Choice: Graph-based Assessment of Key Management Protocols to Share Encrypted Data
Kühner, H.; Hartenstein, H.
2014. 4th ACM Conference on Data and Application Security and Privacy (CODASPY), San Antonio, Texas, USA, 3rd - 5th March 2014
2013
Novel series connection concept for thin film solar modules : Novel series connection concept for thin film solar modules
Haas, S.; Krumscheid, S.; Bauer, A.; Lambertz, A.; Rau, U.
2013. Progress in Photovoltaics: Research and Applications, 21 (5), 972–979. doi:10.1002/pip.2188
Semiparametric Drift and Diffusion Estimation for Multiscale Diffusions
Krumscheid, S.; Pavliotis, G. A.; Kalliadasis, S.
2013. Multiscale Modeling & Simulation, 11 (2), 442–473. doi:10.1137/110854485
Preview of a novel architecture for large scale storage
Petzold, A.; Erdmann Pfeiler, C.; Wezel, J. van
2013. 20th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2013), Amsterdam, NL, October 14-18, 2013
GridKa site report
Petzold, A.
2013. HEPIX Fall 2013 Workshop, Ann Arbor, Mich., October 28 - November 1, 2013
Algebraic reconstruction of ultrafast tomography images at the large scale data facility
Yang, X.; Jejkal, T.; Stotzka, R.; Pasic, H.; Santos Rolo, T. dos; Kamp, T. van de; Streit, A.
2013. 14th International Conference on Accelerator & Large Experimental Physics Control Systems (ICALEPCS2013), San Francisco, Calif., October 6-11, 2013
Data intensive computing of X-ray computed tomography reconstruction at the LSDF
Yang, X.; Jejkal, T.; Pasic, H.; Stotzka, R.; Streit, A.; Wezel, J. van; Santos Rolo, T. dos
2013. 21st Internat.Euromicro Conf.on Parallel, Distributed and Network-based Processing (PDP 2013), Belfast, GB, February 27 - March 1, 2013
Algebraic reconstruction of ultrafast tomography images at the large scale data facility
Yang, X.; Jejkal, T.; Stotzka, R.; Pasic, H.; Santos Rolo, T. dos; Kamp, T. van de; Streit, A.
2013. 14th International Conference on Accelerator & Large Experimental Physics Control Systems (ICALEPCS2013), San Francisco, CA, October 6-11, 2013, 996–999, NIF/LLNL
Data intensive computing of X-ray computed tomography reconstruction at the LSDF
Yang, X.; Jejkal, T.; Pasic, H.; Stotzka, R.; Streit, A.; Wezel, J. van; Santos Rolo, T. dos
2013. Proceedings of the 21st International Euromicro Conference on Parallel, Distributed and Network-based Processing (PDP 2013), Belfast, GB, February 27 - March 1, 2013. Ed.: P. Kilpatrick, 86–93, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PDP.2013.21
The GridKa Tier-1 computing center within the ALICE Grid framework
Park, W. J. J.; Jung, C.; Heiss, A.; Petzold, A.; Schwarz, K.
2013. 20th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2013), Amsterdam, NL, October 14-18, 2013
Featured ’single sign-in’ interface enabling Grid, cloud and local resources for HEP
Fischer, M.; Quast, G.; Zvada, M.
2013. 20th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2013), Amsterdam, NL, October 14-18, 2013
Calculation of the "absolute" free energy of a ß-hairpin in an all-atom force field
Klenin, K. V.; Wenzel, W.
2013. The journal of chemical physics, 139 (5), Art.Nr. 054102. doi:10.1063/1.4817195
Triple-S: A Matching Approach for Petri Nets on Syntactic, Semantic and Structural level
Cayoglu, U.; Oberweis, A.; Schoknecht, A.; Ullrich, M.
2013. Model Matching Contest at the 4th International Workshop on Process Model Collections: Management and Reuse (PMC-MR’13) in conjunction with the 11th International Conference on Business Process Management, Beijing, China, August 26, 2013
Das Helmholtz-Projekt ’Large Scale Data and Analysis’ (LSDMA)
Schwarz, K.; Jung, C.
2013. 77. Jahrestagung der DPG und DPG-Frühjahrstagung, Fachverband Physik der Hadronen und Kerne, Dresden, 4.-8.März 2013
Radiative and dynamical contributions to past and future Arctic stratospheric temperature trends
Bohlinger, P.; Sinnhuber, B.-M.; Ruhnke, R.; Kirner, O.
2013. Atmospheric chemistry and physics / Discussions, 13 (3), 6707–6728. doi:10.5194/acpd-13-6707-2013
Algebraic reconstruction of ultrafast tomography images at the large scale data facility
Yang, X.; Jejkal, T.; Stotzka, R.; Pasic, H.; Santos Rolo, T. dos; Kamp, T. van de; Streit, A.
2013. 14th International Conference on Accelerator and Large Experimental Physics Control Systems, San Francisco, Calif., October 6-11, 2013
G-Hadoop : MapReduce across distributed data centers for data-intensive computing
Wang, L.; Tao, J.; Ranjan, R.; Marten, H.; Streit, A.; Chen, J.; Chen, D.
2013. Future generation computer systems, 29 (3), 739–750. doi:10.1016/j.future.2012.09.001
The Influence of Energetic Particles on the Chemistry of the Middle Atmosphere
Reddmann, T.; Funke, B.; Konopka, P.; Stiller, G.; Versick, S.; Vogel, B.
2013. Climate and Weather of the Sun-Earth System (CAWSES) Highlights from a Priority Program. Ed.: F.-J. Lübken, 247–273, Springer Verlag. doi:10.1007/978-94-007-4348-9_15
Special Section on Vehicular Networks and Communication Systems: From Laboratory into Reality
Bai, F.; Hartenstein, H.; Gruteser, M.; Kravets, R.; Zhang, T.; Stancil, D.
2013. IEEE transactions on vehicular technology, 62 (9), 4146–4149. doi:10.1109/TVT.2013.2286434
In-depth Analysis and Evaluation of Self-Organizing TDMA
Gaugel, T.; Mittag, J.; Hartenstein, H.; Papanastasiou, S.; Ström, E.
2013. Proceedings of the 2013 IEEE Vehicular Networking Conference, VNC 2013; Boston, MA; United States; 16 December 2013 through 18 December 2013, 79–86, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/VNC.2013.6737593
Verification and Evaluation of Fail-Safe Virtual Traffic Light Applications
Neudecker, T.; An, N.; Hartenstein, H.
2013. Proceedings of the 2013 IEEE Vehicular Networking Conference, VNC 2013; Boston, MA; United States; 16 December 2013 through 18 December 2013, 158–165, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/VNC.2013.6737603
eID im Forschungsprozess
Johannes, P. C.; Roßnagel, A.; Potthoff, J.; Neumair, B.; Madiesh, M.; Hackel, S.
2013. Informationssicherheit stärken - Vertrauen in die Zukunft schaffen: Tagungsband zum 13.Deutschen IT-Sicherheitskongress, Bonn, 14.-16. Mai 2013. Hrsg.: M. Hange, 405–418, SecuMedia-Verlag
Beweissicheres elektronisches Laborbuch : Anforderungen, Konzepte und Umsetzung zur langfristigen, beweiswerterhaltenden Archivierung elektronischer Forschungsdaten und -dokumentation
Johannes, P. C.; Potthoff, J.; Roßnagel, A.; Neumair, B.; Madiesh, M.; Hackel, S.
2013. Baden-Baden : Nomos Verl., 2013 (Der elektronische Rechtsverkehr ; 29)
An augmented reality home-training system based on the mirror training and imagery approach
Trojan, J.; Diers, M.; Fuchs, X.; Bach, F.; Bekrater-Bodmann, R.; Foell, J.; Kamping, S.; Rance, M.; Maaß, H.; Flor, H.
2013. Behavior research methods, 46 (3), 634–640. doi:10.3758/s13428-013-0412-4
Optimizing the data life cycle
Schwarz, K.; Jung, C.
2013. 77. Jahrestagung der DPG und DPG-Frühjahrstagung, Fachverband Physik der Hadronen und Kerne, Dresden, 4.-8.März 2013 Verhandlungen der Deutschen Physikalischen Gesellschaft, R.6, B.48(2013), HK 34.1
A new parameterization of polar stratospheric clouds based on the effective growth of NAT particles in the chemistry-climate-model EMAC
Kirner, O.; Ruhnke, R.; Höpfner, M.
2013. European Geosciences Union (EGU) General Assembly, Wien, A, April 7-12, 2013 Geophysical Research Abstracts, 15(2013) EGU2013-11373
Particle forcing effects on stratospheric ozone in EMAC
Versick, S.
2013. Seminar, International Science Institute, Bern, CH, March 18-22, 2013
Influence of nudging setup on EMAC model results after major stratospheric warming during the winter 2008/09
Versick, S.; Kirner, O.; Funke, B.; Gardini, A.; Stiller, G.
2013. European Geosciences Union (EGU) General Assembly, Wien, A, April 7-12, 2013 Geophysical Research Abstracts, 15(2013) EGU2013-10115
The mean age of air module
Versick, S.; Reddmann, T.
2013. 3rd Annual EMAC Symposium, Karlsruhe, June 12-14, 2013
Updating photolysis reactions with the JVAL preprocessor (JVPP)
Sander, R.; Joeckel, P.; Kirner, O.; Kunert, A.; Landgraf, J.; Pozzer, A.
2013. 3rd Annual EMAC Symposium, Karlsruhe, June 12-14, 2013
The relative importance of gas-phase and heterogeneous processes for polar chlorine activation and subsequent ozone depletion
Müller, R.; Wegner, T.; Grooß, J. U.; Kirner, O.; Drdla, K.
2013. RECONCILE Final Meeting, Budapest, H, February 20-22, 2013
The relative importance of gas-phase and heterogeneous processes for polar chlorine activation and subsequent ozone depletion
Müller, R.; Wegener, T.; Grooß, J. U.; Kirner, O.; Drdla, K.
2013. European Geosciences Union (EGU) General Assembly, Wien, A, April 7-12, 2013 Geophysical Research Abstracts, 15(2013) EGU2013-9076
Contribution of the different PSC types to stratospheric chlorine activation and ozone depletion
Kirner, O.
2013. 3rd Annual EMAC Symposium, Karlsruhe, June 12-14, 2013
Polare Chloraktivierung und Ozonabbau im Chemie-Klima Modell EMAC mit unterschiedlicher heterogener Chemie auf stratosphärischen Aerosol- und polaren Stratosphärenwolken
Kirner, O.; Ruhnke, R.; Hoepfner, M.; Joeckel, M.; Fischer, H.
2013. Deutsch-Österreichisch-Schweizerische Meteorologen-Tagung (DACH 2013), Innsbruck, A, September 2-6, 2013
Satellite observations of OClO from 1995 to 2011 in comparison to ECMWF data and EMAC simulations
Kuehl, S.; Pukite, J.; Doerner, S.; Joeckel, P.; Wagner, T.; Kirner, O.
2013. 39th COSPAR Scientific Assembly, Mysore, IND, July 14-22, 2012
Satellite observations of OClO from 1995 to 2011 in comparison to ECMWF data and EMAC simulation
Kühl, S.; Pukite, J.; Dörner, S.; Jöckel, P.; Kirner, O.; Wagner, T.
2013. European Geosciences Union (EGU) General Assembly, Wien, A, April 22-27, 2012 Geophysical Research Abstracts, 14(2012) EGU2012-3151
Using Traditional data analysis algorithms to detect patterns for big data processing
Zhao, J.; Tao, J.; Wang, L.; Ranjan, R.; Kolodziej, J.
2013. IEEE International Conference on High Performance Computing and Communications, Zhangjiajie, China, November 13-15, 2013
KIT @ Caltech SC13 WAN Demo
Hoeft, B.; Pfeiler, C. E.
2013. Network Research Exhibition SuperComputing Conference (SC 2013), Denver, Colo., November 18-21, 2013
Deploying an IPv6-enabled grid testbed @GridKa
Hoeft, B.; Petzold, A.
2013. 20th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2013), Amsterdam, NL, October 14-18, 2013
Using Traditional data analysis algorithms to detect patterns for big data processing
Zhao, J.; Tao, J.; Wang, L.; Ranjan, R.; Kolodziej, J.
2013. IEEE International Conference on High Performance Computing and Communications, Zhangjiajie, China, November 13-15, 2013 Proceedings S.1097-1104 Los Alamitos, Calif. : IEEE Computer Society, 2013 S.1097-1104
Load and thermal-aware VM scheduling on the cloud
Mhedheb, Y.; Jrad, F.; Tao, J.; Zhao, J.; Kolodziej, J.; Streit, A.
2013. 13th International Conference on Algorithms and Architectures for Parallel Processing, Vietri sul Mare, I, December 18-20, 2013
Load and thermal-aware VM scheduling on the cloud
Mhedheb, Y.; Jrad, F.; Tao, J.; Zhao, J.; Kolodziej, J.; Streit, A.
2013. Algorithms and Architectures for Parallel Processing: 13th International Conference, Vietri sul Mare, I, December 18-20, 2013. Hrsg.: J. Kolodziej. Pt. 1, 101–114, Springer Verlag. doi:10.1007/978-3-319-03859-9_8
Transport properties of individual C₆₀-molecules
Geranton, G.; Seiler, C.; Bagrets, A.; Venkataraman, L.; Evers, F.
2013. Journal of Chemical Physics, 139, 234701/1–12. doi:10.1063/1.4840535
WLCG and IPv6 - The HEPIX IPv6 working group
Campana, S.; Chadwick, K.; Chen, G.; Chudoba, J.; Clarke, P.; Elias, M.; Elwell, A.; Fayer, S.; Finnern, T.; Goossens, L.; Grigoras, C.; Hoeft, B.; Kelsey, D. P.; Kouba, T.; Lopez Munoz, F.; u. a.
2013. 20th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2013), Amsterdam, NL, October 14-18, 2013
Application-aware flow optimization in wide area networks using distributed openflow controller
Barczyk, A.; Bredel, M.; Cury, S.; Demar, P.; Gable, I.; Hay, M.; Hoeft, B.; Hockett, R.; Iope, R.; Kassymkhanova, I.; Kcira, D.; Martelli, E.; McKee, S.; Mughal, A.; Newman, H.; u. a.
2013. Network Research Exhibition SuperComputing Conference (SC 2013), Denver, Colo., November 18-21, 2013
One year high rate low voltage recording. Devices, methods and results
Maaß, H.; Cakmak, H. K.; Bach, F.; Kühnapfel, U. G.
2013. 4th IEEE International Workshop on Applied Measurements for Power Systems (AMPS), Aachen, 25.-27. September 2013, 68–72, Institute of Electrical and Electronics Engineers (IEEE)
Multiscale modelling methods for applications in materials science
Kondov, I.; Sutmann, G. (Hrsg.)
2013. Forschungszentrum Jülich
Seminar big data applications
Streit, A.; Stotzka, R.
2013. Sammelband, Sommersemester 2013 Karlsruhe, 2013
realTox: Real-time imaging of toxicant impact in whole organisms at single cell resolution
Otte, J. C.; Kobitskiy, A.; Stegmaier, J.; Takamiya, M.; Hartmann, V.; Schäfer, B.; Garcia, A.; Wezel, J. van; Stotzka, R.; Nienhaus, G. U.; Mikut, R.; Strähle, U.
2013. Jahrestagung der Deutschen Gesellschaft für Experimentelle und Klinische Pharmakologie und Toxikologie (DGPT), Halle, 5.-7. März 2013
A service-oriented approach for multiscale materials modelling
Kondov, I.; Bozic, S.; Meded, V.; Wenzel, W.
2013. Internat.Workshop on Multiscale Modelling of Materials for Energy Conversion Applications (MMM @ HPC), Athinai, GR, November 8-9, 2012
Simple geometrical model ddressing polymer wraping around single walled carbon nanotubes
Poschlad, A.; Meded, V.; Wenzel, W.
2013. Internat.Workshop on Multiscale Modelling of Materials for Energy Conversion Applications (MMM @ HPC), Athinai, GR, November 8-9, 2012
A reparametrized implicit solvent model for accurate computation of hydration free energies
Brieg, M. M.; Setzler, J.; Wenzel, W.
2013. Joint Meeting of the British and German Biophysical Society, Hünfeld, March 21- 23, 2013
A reparametrized implicit solvent model for accurate computation of hydration free energies
Brieg, M. M.; Setzler, J.; Wenzel, W.
2013. Workshop on Computer Simulation and Theory of Macromolecules, Hünfeld, April 26- 27, 2013
Metadaten - Welche Informationen sind wichtig? Proseminar - Big Data Applications
Turan, M.
2013. Seminar Big Data Applications. Sammelband. Sommersemester 2013. Hrsg.: A. Streit, III, 10 S., Karlsruher Institut für Technologie (KIT)
Langzeitarchivierung von Big Forschungsdaten, Proseminar "Big Data"
Mayer, A.
2013. Seminar Big Data Applications. Sammelband. Sommersemester 2013. Hrsg.: A. Streit, 18 S., Karlsruher Institut für Technologie (KIT)
Schafft Replikation Sicherheit? Kosten vs. Nutzen. Proseminar "BigData", Sommersemester 2013
Markert, J.-F.
2013. Seminar Big Data Applications. Sammelband. Sommersemester 2013. Hrsg.: A. Streit, 11 S., Karlsruher Institut für Technologie (KIT)
Bitstream Preservation: Verfahren und Algorithmen. Proseminar-Ausarbeitung
Sauter, D.
2013. Seminar Big Data Applications. Sammelband. Sommersemester 2013. Hrsg.: A. Streit, III, 16 S., Karlsruher Institut für Technologie (KIT)
Digitalisierungs- und Bereitstellungsprojekte in Deutschland. Seminararbeit Big Data Applications
Cömert, M.
2013. Seminar Big Data Applications. Sammelband. Sommersemester 2013. Hrsg.: A. Streit, 18 S., Karlsruher Institut für Technologie (KIT)
Seminar Big Data Applications. Sammelband. Sommersemester 2013
Streit, A.; Stotzka, R. (Hrsg.)
2013. Karlsruher Institut für Technologie (KIT)
A toolchain for profiling virtual machines
Zhao, J.; Tao, J.; Wang, L.; Wirooks, A.
2013. 27th European Conference on Modelling and Simulation, Aalesund, N, May 27-30, 2013
A toolchain for profiling virtual machines
Zhao, J.; Tao, J.; Wang, L.; Wirooks, A.
2013. Rekdalsbakken, W. [Hrsg.] Proceedings of the 27th European Conference on Modelling and Simulation, Aalesund, N, May 27-30, 2013 European Council for Modelling and Simulation, 2013
A service-oriented framework for integration of domain-specific data models in scientific workflows
Bender, A.; Poschlad, A.; Bozic, S.; Kondov, I.
2013. Procedia Computer Science, 18, 1087–1097. doi:10.1016/j.procs.2013.05.274
Algebraic reconstruction of X-ray tomography on parallel computing architecture of LSDF
Yang, X.; Jejkal, T.; Pasic, H.; Stotzka, R.; Streit, A.; Wezel, J. van; Santos Rolo, T. dos
2013. Computing in Photon and Neutron Science Applications : PNI/HDRI Workshop 2013, Hamburg, March 4-5, 2013, Computing in Photon and Neutron Science Applications : PNI/HDRI Workshop (2013), Hamburg, Deutschland, 4.–5. März 2013
A comparative study beteen two data management systems dCache and iRODS
Ressmann, D.
2013. International Symposium on Grids and Clouds (ISGC 2013), Taipei, Taiwan, March 17-22, 2013
Search Result Presentation: Supporting Post-Search Navigation by Integration of Taxonomy Data
Keller, M.; Mühlschlegel, P.; Hartenstein, H.
2013. Data In Web Search (DISH) Workshop, Proceedings of the 22nd International World Wide Web Conference (WWW2013), May 13-17, 2013, Rio de Janeiro, Brazil, 1269–1274, Association for Computing Machinery (ACM)
Towards Performance Evaluation of Conservative Distributed Discrete-Event Network Simulations Using Second-Order Simulation
Andelfinger, P.; Hartenstein, H.
2013. Proceedings of the 2013 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, SIGSIM-PADS 2013; Montreal, QC; Canada; 19 May 2013 through 22 May 2013, 221–230, Association for Computing Machinery (ACM). doi:10.1145/2486092.2486120
Joint Power/Rate Congestion Control Optimizing Packet Reception in Vehicle Safety Communications
Tielert, T.; Jiang, D.; Hartenstein, H.; Delgrossi, L.
2013. Proceeding VANET ’13 Proceeding of the tenth ACM international workshop on Vehicular inter-networking, systems, and applications, Taipei, Taiwan — June 25 - 25, 2013, 51–60, Association for Computing Machinery (ACM). doi:10.1145/2482967.2482968
Mining Taxonomies from Web Menus: Rule-Based Concepts and Algorithms
Keller, M.; Hartenstein, H.
2013. 13th International Conference on Web Engineering, ICWE 2013; Aalborg; Denmark; 8 July 2013 through 12 July 2013, 265–282, Springer Verlag. doi:10.1007/978-3-642-39200-9_23
GRABEX: A Graph-Based Method for Web Site Block Classification and its Application on Mining Breadcrumb Trails
Keller, M.; Hartenstein, H.
2013. 2013 12th IEEE/WIC/ACM International Conference on Web Intelligence, WI 2013; Atlanta, GA; United States; 17 November 2013 through 20 November 2013, 290–297, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/WI-IAT.2013.42
Aktuelle Umsetzungskonzepte der Universitäten des Landes Baden-Württemberg für Hochleistungsrechnen und datenintensive Dienste
Hartenstein, H.; Walter, T.; Castellaz, P.
2013. Praxis der Informationsverarbeitung und Kommunikation, 36 (2), 99–108
PowerBorn: A Barnes-Hut tree implementation for accurate and efficient born radii computation
Brieg, M.; Wenzel, W.
2013. Journal of Chemical Theory and Computation, 9, 1489–1498. doi:10.1021/ct300870s
Multiscale material modelling on high performance computer architectures
Danilov, D.; Meded, V.; Kondov, I.; Wenzel, W.
2013. International Conference on Computational Modelling of Nanostructured Materials (ICCMNM 2013), Frankfurt, September 3-6, 2013
Real-gas equations-of-state for the GASFLOW CFD code
Travis, J. R.; Piccioni Koch, D.; Xiao, J.; Xu, Z.
2013. International Journal of Hydrogen Energy, 38, 8132–8140. doi:10.1016/j.ijhydene.2012.08.129
A broker-based framework for multi-cloud workflows
Jrad, F.; Tao, J.; Streit, A.
2013. Multi-Cloud 2013 : 1st Internat.Workshop on Multi-Cloud Applications and Federated Clouds, Praha, CZ, April 22, 2013
A broker-based framework for multi-cloud workflows
Jrad, F.; Tao, J.; Streit, A.
2013. MultiCloud’13: Proceedings of the 2013 International Workshop on Multi-Cloud Applications and Federated Clouds, Praha, CZ, April 22, 2013. Ed.: D. Ardagna, 61–68, Association for Computing Machinery (ACM). doi:10.1145/2462326.2462339
All-atom modelling of protein folding and aggregation
Wolf, M.; Heilmann, N.; Seith, C.; Strunk, T.; Setzler, J.; Brieg, M.; Wenzel, W.
2013. Workshop on Computer Simulation and Theory of Macromolecules, Hünfeld, April 26- 27, 2013
Thermodynamic characterization of protein folding using Monte Carlo methods
Heilmann, N.; Setzler, J.; Wolf, M.; Strunk, T.; Brieg, M.; Wenzel, W.
2013. Workshop on Computer Simulation and Theory of Macromolecules, Hünfeld, April 26- 27, 2013
Modeling membrane proteins with a new implicit membrane model
Setzler, J.; Brieg, M.; Seith, C.; Wenzel, W.
2013. Workshop on Computer Simulation and Theory of Macromolecules, Hünfeld, April 26- 27, 2013
GridKa migration to grid engine
Alef, M.
2013. Monthly Meeting of the WLCG Grid Deployment Board, Zürich, CH, May 8, 2013
Power grid time series data analysis with Pig on a Hadoop cluster compared to multi core systems
Bach, F.; Çakmak, H. K.; Maass, H.; Kuehnapfel, U.
2013. 21st Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, Belfast, UK, February 27 - March 1, 2013. Ed.: P. Kilpatrick, 208–212, IEEE Computer Society. doi:10.1109/PDP.2013.37
Data intensive computing of X-ray computed tomography reconstruction at the LSDF
Yang, X.; Jejkal, T.; Pasic, H.; Stotzka, R.; Streit, A.; Wezel, T. van; Santos Rolo, T. dos
2013. 21st Internat.Euromicro Conf.on Parallel, Distributed and Network-based Processing (PDP 2013), Belfast, GB, February 27 - March 1, 2013
Nanoscale materials and electronic transport: from ballistic to hopping approaches
Meded, V.; Poschlad, A.; Symalla, F.; Danilov, D.; Beljakov, I.
2013. Frühjahrstagung DPG, Sektion Kondensierte Materie, Fachverband Metall- und Materialphysik, Regensburg, 10.-15. März 2013 Verhandlungen der Deutschen Physikalischen Gesellschaft, R.6, B.48(2013), MM 64.6
Modelling peptide conformations and insertion in an implicit membrane model
Setzler, J.; Brieg, M.; Seith, C.; Wenzel, W.
2013. Joint Meeting of the British and German Biophysical Society, Hünfeld, March 21- 23, 2013
Understanding evolutionary conserved contacts by structure based models
Verma, A.; Lutz, B.; Weigt, M.; Schug, A.
2013. Frühjahrstagung DPG, Sektion Kondensierte Materie, Fachverband Biologische Physik, Regensburg, 10.-15. März 2013 Verhandlungen der Deutschen Physikalischen Gesellschaft, R.6, B.48(2013), BP 31.8
Integrating genomic information with molecular simulation for protein dynamics
Schug, A.; Szurmant, H.; Weigt, M.; Verma, A.
2013. Frühjahrstagung DPG, Sektion Kondensierte Materie, Fachverband Biologische Physik, Regensburg, 10.-15. März 2013 Verhandlungen der Deutschen Physikalischen Gesellschaft, R.6, B.48(2013), BP 2.5
Analyzing protein folding by high-throughput simulations
Sinner, C.; Lutz, B.; Verma, A.; Schug, A.
2013. Frühjahrstagung DPG, Sektion Kondensierte Materie, Fachverband Biologische Physik, Regensburg, 10.-15. März 2013 Verhandlungen der Deutschen Physikalischen Gesellschaft, R.6, B.48(2013), BP 8.26
Computational analysis of co-transcriptional riboswitch folding
Lutz, B.; Verma, A.; Schug, A.
2013. Frühjahrstagung DPG, Sektion Kondensierte Materie, Fachverband Biologische Physik, Regensburg, 10.-15. März 2013 Verhandlungen der Deutschen Physikalischen Gesellschaft, R.6, B.48(2013), BP 8.19
Thermodynamic characterization of protein folding equilibrium at the all atom level
Heilmann, N.; Seith, C.; Strunk, T.; Wolf, M.; Brieg, M.; Setzler, J.; Wenzel, W.
2013. Biophysical Society 57th Annual Meeting, Philadelphia, Pa., February 2-6, 2013
A service-oriented framework for integration of domain-specific data models in scientific workflows
Bender, A.; Poschlad, A.; Bozic, S.; Kondov, I.
2013. International Conference on Computational Science (ICCS 2013), Barcelona, E, June 5-7, 2013
Characterization of Carrier Sense Multiple Access in Vehicular Propagation Channels
Mittag, J.; Hartenstein, H.
2013. High Performance Computing in Science and Engineering ’12 Transactions of the High Performance Computing Center, Stuttgart (HLRS) 2012, Part IV. [Konferenz]. Ed.: W. E. Nagel, 561–569, Springer Verlag. doi:10.1007/978-3-642-33374-3_40
Federating HPC access via SAML: Towards a plug-and-play solution
Köhler, J.; Simon, M.; Nussbaumer, M.; Hartenstein, H.
2013. 28th International Supercomputing Conference on Supercomputing, ISC 2013; Leipzig; Germany; 16 June 2013 through 20 June 201, 462–473, Springer Verlag. doi:10.1007/978-3-642-38750-0_35
User-Centric Management of Distributed Credential Repositories: Balancing Availability and Vulnerability
Köhler, J.; Mittag, J.; Hartenstein, H.
2013. Proceeding SACMAT ’13 Proceedings of the 18th ACM symposium on Access control models and technologies, Amsterdam, The Netherlands — June 12 - 14, 2013, 237–248, Association for Computing Machinery (ACM). doi:10.1145/2462410.2462412
Key management for secure group interactions over any storage provider: An overview [Schlüsselverwaltung für sichere gruppeninteraktionen über beliebigen speicheranbietern: Ein überblick]
Kühner, H.; Hartenstein, H.
2013. 6. DFN-Forum Kommunikationstechnologien : Beiträge der Fachtagung; 03.06. - 04.06.2013, Erlangen. (Konferenz). Ed.: P. Müller, 119–129, Gesellschaft für Informatik (GI)
OCCASIO: an Operable Concept for Confidential and Secure Identity Outsourcing
Köhler, J.; Hartenstein, H.
2013. 2013 IFIP/IEEE International Symposium on Integrated Network Management, IM 2013; Ghent; Belgium; 27 May 2013 through 31 May 2013, 235–243, Institute of Electrical and Electronics Engineers (IEEE)
Balancing the Requirements for a Zero False Positive/Negative Forward Collision Warning
An, N.; Maile, M.; Jiang, D.; Mittag, J.; Hartenstein, H.
2013. 2013 10th Annual Conference on Wireless On-Demand Network Systems and Services, WONS 2013; Banff, AB; Canada; 18 March 2013 through 20 March 2013, 191–195, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/WONS.2013.6578346
GridKa site report
Alef, M.
2013. HEPiX Spring 2013 Workshop, Bologna, I, April 15-19, 2013
All-atom modelling of protein folding and aggregation
Wenzel, W.; Heilmann, N.; Seith, C.; Strunk, T.; Wolf, M.; Brieg, M.; Setzler, J.
2013. Joint Meeting of the British and German Biophysical Society, Hünfeld, March 21-23, 2013
Do Online Social Network Friends Still Threaten My Privacy?
Labitzke, S.; Werling, F.; Mittag, J.; Hartenstein, H.
2013. Proceedings of the 3rd ACM Conference on Data and Application Security and Privacy, CODASPY 2013; San Antonio, TX; United States; 18 February 2013 through 20 February 2013, 13–24, Association for Computing Machinery (ACM). doi:10.1145/2435349.2435352
Zwischen Anonymität und Profiling: Ein technischer Blick auf die Privatsphäre in sozialen Netzwerken
Taranu, I.; Labitzke, S.; Hartenstein, H.
2013. Automatismen - Selbst-Technologien. Hrsg.: H. Bublitz, 105–130, Fink
2012
Virtual InfiniBand Clusters for HPC Clouds
Hillenbrand, M.; Mauch, V.; Stoess, J.; Miller, K.; Bellosa, F.
2012. CloudCP ’12: Proceedings of the 2nd International Workshop on Cloud Computing Platforms April 2012 - Co-located with EuroSys 2012: EuroSys ’12 : proceedings of the EuroSys 2012 conference ; April 10 - 13, 2012, Bern, Switzerland. doi:10.1145/2168697.2168706
Graph Access Pattern Diagrams (GAP-D): Towards a Unified Approach for Modeling Navigation over Hierarchical, Linear and Networked Structures
Keller, M.; Nussbaumer, M.
2012. Current trends in Web engineering : workshops, doctoral symposium, and tutorials, held at ICWE 2011, Paphos, Cyprus, June 20 - 21, 2011; revised selected papers. Ed.: A. Harth, 155–158, Springer Verlag. doi:10.1007/978-3-642-27997-3_15
Data Life Cycle Labs, A New Concept to Support Data-Intensive Science
Wezel, J. van; Streit, A.; Jung, C.; Stotzka, R.; Halstenberg, S.; Rigoll, F.; Garcia, A.; Heiss, A.; Gasthuber, M.; Schwarz, K.; Giesler, A.
2012
Vision-based Hand Representation and Intuitive Virtual Object Manipulation in Mixed Reality
Bach, F.; Çakmak, H.; Maaß, H.
2012. Biomedizinische Technik, 57 (Suppl. 1), 462–465. doi:10.1515/bmt-2012-4086
Illusory Hand Ownership Induced by an MRI Compatible Immersive Virtual Reality Device
Bach, F.; Çakmak, H.; Maaß, H.; Bekrater-Bodmann, R.; Foell, J.; Diers, M.; Trojan, J.; Fuchs, X.; Flor, H.
2012. Biomedizinische Technik, 57 (Suppl. 1), 718–720. doi:10.1515/bmt-2012-4084
The MIPAS HOCl climatology
Clarmann, T. von; Funke, B.; Glatthor, N.; Kellmann, S.; Kiefer, M.; Kirner, O.; Sinnhuber, B. M.; Stiller, G. P.
2012. Atmospheric chemistry and physics, 12, 1965–1977. doi:10.5194/acp-12-1965-2012
Observed and simulated time evolution of HCl, ClONO₂ and HF total column abundances
Kohlhepp, R.; Ruhnke, R.; Chipperfield, M. P.; De Maziere, M.; Notholt, J.; Barthlott, S.; Batchelor, R. L.; Blatherwick, R. D.; Blumenstock, T.; Coffey, M. T.; Demoulin, P.; Fast, H.; Feng, W.; Goldman, A.; Griffith, D. W. T.; u. a.
2012. Atmospheric chemistry and physics, 12 (7), 3527–3557. doi:10.5194/acp-12-3527-2012
Global stratospheric hydrogen peroxide distribution from MIPAS-Envisat full resolution spectra compared to KASIMA model results
Versick, S.; Stiller, G. P.; Clarmann T. von; Reddmann, T.; Glatthor, N.; Grabowski, U.; Höpfner, M.; Kellmann, S.; Kiefer, M.; Linden, A.; Ruhnke, R.; Fischer, H.
2012. Atmospheric chemistry and physics, 12, 4923–4933. doi:10.5194/acp-12-4923-2012
eSBMTools: Python tools for enriched structure based modeling
Lutz, B.; Sinner, C.; Heuermann, G.; Verma, A.; Schug, A.
2012. Proc. of 11th Internat. Conf. on Modeling and Applied Simulation (MAS 2012), Wien, A, September 19-21, 2012. Ed.: M. Affenzeller, 237–242, Universita di Genova (DIME)
Analysis of the influence of multiple scattering on the reconstruction of ultrasound tomography signals using synthetic aperture focussing technique
Hardt, M.; Ruiter, N. V.; Gemmeke, H.
2012. 19th Internat.Conf.on Systems, Signals and Image Processing (IWSSIP), Wien, A, April 11-13, 2012
Analysis of the influence of multiple scattering on the reconstruction of ultrasound tomography signals using synthetic aperture focussing technique
Hardt, M.; Ruiter, N. V.; Gemmeke, H.
2012. Proc. of 19th Internat. Conf. on Systems, Signals and Image Processing (IWSSIP), Wien, A, April 11-13, 2012, 564–567, Institute of Electrical and Electronics Engineers (IEEE)
Memory effects in electrochemically gated metallic point contacts
Maul, R.; Xie, F.-Q.; Obermair, C.; Schön, G.; Schimmel, T.; Wenzel, W.
2012. Applied Physics Letters, 100 (20), 203511/1–5. doi:10.1063/1.4719207
Facilitating data upload, access and deployment
Stotzka, R.; Hardt, M.
2012. e-IRG Workshop on Data Issues, Amsterdam, NL, December 3-4, 2012
Characterization and Modeling of Dissemination Delays in Inter-Vehicle Communication Networks
Gaugel, T.; Mittag, J.; Hartenstein, H.
2012. 2012 IEEE Vehicular Networking Conference, VNC 2012; Seoul; South Korea; 14 November 2012 through 16 November 2012, 203–210, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/VNC.2012.6407433
Can V2X Communication Help Electric Vehicles Save Energy?
Tielert, T.; Rieger, D.; Hartenstein, H.; Luz, R.; Hausberger, S.
2012. 12th International Conference on ITS Telecommunications (ITST 2012), 5.-8. November, 2012, Taipei, Taiwan, 232–237, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ITST.2012.6425172
IT-Servicemanagement Rahmenwerke. Wie sie sinnvoll in Universitäten einsetzbar sind
Knittl, S.; Grindler, A.; Vellguth, K.
2012. 5.DFN-Forum Kommunikationstechnologien, Regensburg, 21.-22.Mai 2012
Protein folding and structure prediction with free energy methods
Kondov, I.; Wenzel, W.
2012. AK-Ulrich Group Meeting, Freudenstadt, September 18-22, 2011
eSBMTools: Python tools for enriched structure based modeling
Lutz, B.; Sinner, C.; Heuermann, G.; Verma, A.; Schug, A.
2012. 11th Internat.Conf.on Modeling and Applied Simulation (MAS 2012), Wien, A, September 19-21, 2012
Seismic wave simulations with Sofi3D: Implementation of overlapping MPI communications
Rykhlinskaya, E.; Jetschny, S.; Bohlen, T.
2012. Internat.Supercomputing Conf.(ISC 2012), Hamburg, June 17-21, 2012
GASFLOW simulations of cryogenic hydrogen tanks
Piccioni Koch, D.; Jordan, T.
2012. Internat.Supercomputing Conf.(ISC 2012), Hamburg, June 17-21, 2012
xGUS - a helpdesk template for grid user support
Antoni, T.
2012. Internat.Conf.on Computing in High Energy and Nuclear Physics (CHEP 2012), New York, N.Y., May 21-25, 2012
A business model approach for a sustainable Grid infrastructure in Germany
Antoni, T.
2012. Internat.Conf.on Computing in High Energy and Nuclear Physics (CHEP 2012), New York, N.Y., May 21-25, 2012
Modulation of a pre-existing conformational equilibrium tunes adenylate kinase activity
Aden, J.; Verma, A.; Schug, A.; Wolf-Watz, M.
2012. Journal of the American Chemical Society, 134, 16562–16570. doi:10.1021/ja3032482
Simulation-based evaluation of an intercloud service broker
Jrad, F.; Tao, J.; Streit, A.
2012. 3rd Internat.Conf.on Cloud Computing, GRIDs, and Virtualization, Nice, F, July 22-27, 2012
Mirror images as naturally competing conformations in protein folding
Noel, J. K.; Schug, A.; Verma, A.; Wenzel, W.; Garcia, A. E.; Onuchic, J. N.
2012. 26th Annual Symp.of The Protein Society, San Diego, Calif., August 5-8, 2012 Protein Science, 21(2012) Suppl.1, (Abstract)
Simulation-based evaluation of an intercloud service broker
Jrad, F.; Tao, J.; Streit, A.
2012. 3rd Internat. Conf. on Cloud Computing, GRIDs, and Virtualization, Nice, F, July 22-27, 2012. Ed.: W. Zimmermann, 140–145, International Academy, Research, and Industry Association (IARIA)
RIVER architecture: Reconfigurable flow and fabric for parallel stream processing on FPGAs
Hillenbrand, D.; Brugger, C.; Tao, J.; Yang, S.; Balzer, M.
2012. 7th Internat.Workshopon Reconfigurable Communication-Centric Systems on Chip (ReCoSoC), York, GB, July 9-11, 2012
RIVER architecture: Reconfigurable flow and fabric for parallel stream processing on FPGAs
Hillenbrand, D.; Brugger, C.; Tao, J.; Yang, S.; Balzer, M.
2012. 7th Internat. Workshopon Reconfigurable Communication-Centric Systems on Chip (ReCoSoC), York, GB, July 9-11, 2012, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ReCoSoC.2012.6322876
UNICORE based workflows for the simulation of organic light-emitting diodes
Bozic, S.; Kondov, I.; Meded, V.; Wenzel, W.
2012. UNICORE Summit 2012, Dresden, May 30-31, 2012. Ed.: V. Huber, 15–25, Forschungszentrum Jülich
Experience with UNICORE services for multiscale materials modeling
Carpene, M.; Bozic, S.; Kondov, I.; Emerson, A.
2012. UNICORE Summit 2012, Dresden, May 30-31, 2012. Ed.: V. Huber, 1–13, Forschungszentrum Jülich
ALICE grid computing at the GridKa Tier-1 center
Jung, C.; Petzold, A.; Pfeiler, C. E.; Schwarz, K.
2012. Journal of Physics: Conference Series, 396, 042032/1–6. doi:10.1088/1742-6596/396/4/042032
Experiment representation at the WLCG Tier-1 center GridKa
Jung, C.; Petzold, A.; Zvada, M.
2012. EGI Community Forum 2012 together with EMI Second Technical Conf., München, March 26-30, 2012
Experiment representation at the WLCG Tier-1 center GridKa
Jung, C.; Petzold, A.; Zvada, M.
2012. (EGICF12-EMITC2) 032, EGI Community Forum 2012 / EMI Second Technical Conference, 26-30 March, 2012 Munich, Germany, Scuola Internazionale Superiore di Studi Avanzati (SISSA)
High-resolution density of states in graphene with vacancies
Häfner, V.; Seiler, C.; Kondov, I.; Evers, F.
2012. NIC Symp.2012, Jülich, February 7-8, 2012
SIMONA 1.0: An efficient and versatile framework for stochastic simulations of molecular and nanoscale systems
Strunk, T.; Wolf, M.; Brieg, M.; Klenin, K.; Biewer, A.; Tristram, F.; Ernst, M.; Kleine, P. J.; Heilmann, N.; Kondov, I.; Wenzel, W.
2012. Journal of computational chemistry, 33 (32), 2602–2613. doi:10.1002/jcc.23089
Preliminary results for the HEPPA-II intercomparison
Versick, S.; Kirner, O.; Funke, B.
2012. 2nd Annual EMAC Symp., Mainz, February 14-16, 2012
Comparison of EMAC model results to satellite observations in the winter 2008/09 within the HEPPA-II intercomparison
Versick, S.; Funke, B.; Gardini, A.; Stiller, G.; Clarmann, T. von; Kirner, O.
2012. European Geosciences Union (EGU) General Assembly, Wien, A, April 22-27, 2012 Geophysical Research Abstracts, 14(2012) EGU2012-7645
The development of ozone in the stratosphere and mesosphere performed in EMAC-long term simulations with different boundary conditions for CO₂, CH₄, N₂O and ODS
Kirner, O.; Ruhnke, R.
2012. European Geosciences Union (EGU) General Assembly, Wien, A, April 22-27, 2012 Geophysical Research Abstracts, 14(2012) EGU2012-7514
Chemistry-climate interactions in EMAC-long term simulations with different boundary conditions for CO₂, CH₄, N₂O and ODS
Kirner, O.; Ruhnke, R.
2012. IGAC/SPARC Global Chemistry-Climate Modeling and Evaluation Workshop, Davos, CH, May 21-24, 2012
Diurnal variations of reactive chlorine and nitrogen oxides observed by MIPAS-B inside the January 2010 Arctic vortex
Wetzel, G.; Oelhaf, H.; Kirner, O.; Friedl-Vallon, F.; Ruhnke, R.; Ebersoldt, A.; Kleinert, A.; Maucher, G.; Nordmeyer, H.; Orphal, J.
2012. Atmospheric Chemistry and Physics, 12, 6581–6592. doi:10.5194/acp-12-6581-2012
RIVER: reconfigurable pre-synthesized-streaming architecture for signal processing of FPGAs
Hillenbrand, D.; Brugger, C.; Tao, J.; Yang, S.; Balzer, M.
2012. IEEE 26th Internat.Parallel and Distributed Processing Symp., Workshops and PhD Forum (IPDPSW), Shanghai, China, May 21-25, 2012
RIVER: reconfigurable pre-synthesized-streaming architecture for signal processing of FPGAs
Hillenbrand, D.; Brugger, C.; Tao, J.; Yang, S.; Balzer, M.
2012. IEEE 26th Internat. Parallel and Distributed Processing Symp., Workshops and PhD Forum (IPDPSW), Shanghai, China, May 21-25, 2012, 397–400, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IPDPSW.2012.49
A homogeneous non-equilibrium two-phase critical flow model
Travis, J. R.; Piccioni Koch, D.; Breitung, W.
2012. International Journal of Hydrogen Energy, 37, 17373–17379. doi:10.1016/j.ijhydene.2012.07.077
Eine AutoBAHN in 5 Minuten
Hoeft, B.
2012. DFN-Mitteilungen, (83), 32–36
AutoKNF - ’end customer’ AutoBAHN deployment
Hoeft, B.; Coulouarn, T.; Stamos, K.
2012. Terena Networking Conf. (TNC 2012), Reykjavik, IS, May 21-24, 2012, Terena
Nanoscale materials and electronic transport: from ballistic to hopping approaches
Meded, V.; Neumann, T.; Poschlad, A.; Danilov, D.; Wenzel, W.
2012. Internat.Workshop on Multiscale Modelling of Materials for Energy Conversion Applications (MMM @ HPC), Athinai, GR, November 8-9, 2012
Generic parallel programming for massive remote sensing data processing
Ma, Y.; Wang, L.; Liu, D.; Liu, P.; Wang, J.; Tao, J.
2012. 2012 IEEE Internat.Conf.on Cluster Computing (Cluster 2012), Beijing, China, September 24-28, 2012
Generic parallel programming for massive remote sensing data processing
Ma, Y.; Wang, L.; Liu, D.; Liu, P.; Wang, J.; Tao, J.
2012. IEEE Internat. Conf. on Cluster Computing (Cluster 2012), Beijing, China, September 24-28, 2012, 420–428, Institute of Electrical and Electronics Engineers (IEEE)
AutoKNF - dynamic circuit -> easy, stable and robust
Hoeft, B.
2012. GEANT Symp.2012, Wien, A, October 15-19, 2012
Performing massively parallel protein simulations using the SIMONA Monte Carlo framework
Wolf, M.; Strunk, T.; Brieg, M.; Wenzel, W.
2012. Annual Meeting of the German Biophysical Society (DGfB), Göttingen, September 23-26, 2012
Neuronal correlates of illusory limb ownership in upper-limb amputees with and without phantom limb pain
Bekrater-Bodmann, R.; Föll, J.; Bach, F.; Maaß, H.; Cakmak, H. K.; Rance, M.; Kamping, S.; Diers, M.; Fuchs, X.; Flor, H.
2012. 14th World Congress on Pain (WCOP 2012), Milano, I, August 27-31, 2012
Virtual reality mirror box movements differentially activate sensorimotor cortex in amputees with and without phantom limb pain
Diers, M.; Trojan, J.; Bekrater-Bodmann, R.; Föll, J.; Fuchs, X.; Rance, M.; Kamping, S.; Bach, F.; Maaß, H.; Cakmak, H. K.; Flor, H.
2012. 14th World Congress on Pain (WCOP 2012), Milano, I, August 27-31, 2012
Dataflow management: a grand challenge in multiscale materials modelling
Bozic, S.; Kondov, I.
2012. Proc. of eChallenges e-2012 Conf., Lisboa, P, October 17-19, 2012. Ed.: P. Cunningham, International Information Management Corporation (IIMC)
Nachhaltigkeit von Wissenschaftsinfrastrukturen: Erfolgsfaktoren am Beispiel des Deutschen Forschungsnetzes
Neumair, B.
2012. Forschung - Information - Infrastruktur: Bausteine für Open Science. 13. DINI-Jahrestagung, 24. und 25. September 2012, Karlsruhe [Konferenz], Karlsruher Institut für Technologie (KIT)
LRMS migration at GridKa
Alef, M.
2012. HEPIX Fall 2012 Workshop, Beijing, China, October 15-19, 2012
Studying protein folding with atomistic Monte-Carlo simulations in implicit solvent
Brieg, M.; Heilmann, N.; Seith, C.; Setzler, J.; Wenzel, W.
2012. Annual Meeting of the German Biophysical Society (DGfB), Göttingen, September 23-26, 2012
MapReduce across distributed clusters for data-intensive applications
Wang, L.; Tao, J.; Marten, H.; Streit, A.; Khan, S. U.; Kolodziej, J.; Chen, D.
2012. 26th IEEE Internat.Parallel and Distributed Processing Symp. (IPDPS 2012), Shanghai, China, May 21-25, 2012
MapReduce across distributed clusters for data-intensive applications
Wang, L.; Tao, J.; Marten, H.; Streit, A.; Khan, S. U.; Kolodziej, J.; Chen, D.
2012. 26th IEEE Internat. Parallel and Distributed Processing Symp. Workshops, Shanghai, China, May 21-25, 2012, 2004–2011, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IPDPSW.2012.249
bwIDM : Federated Identity Management for the state of Baden-Württemberg (Germany)
Köhler, J.; Simon, M.; Labitzke, S.; Dussa, T.; Nussbaumer, M.
2012. The European Grid Infrastructure Technical Forum [Proceedings], Prague, Czech Republic, 17-21 September 2012
Is CSMA Able to Coordinate Multiple Access in Vehicular Radio Channels Effectively?
Mittag, J.; Hartenstein, H.
2012. Proceedings of the 12th International Conference on ITS Telecommunications, ITST 2012; Taipei; Taiwan; 5 November 2012 through 8 November 2012, 801–806, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ITST.2012.6425293
Characterization of protein landscapes with free energy methods
Klenin, K.
2012. European Science Foundation Energy Landscapes Research Conf., Obergurgl, A, July 16-21, 2012
Workflows for the simulation of organic light-emitting diodes
Bozic, S.; Kondov, I.; Meded, V.; Wenzel, W.
2012. EGI Community Forum 2012, Leibniz Supercomputing Centre,Garching, March 26-30, 2012
Multiscale simulations of complex materials basing on UNICORE workflows
Bozic, S.; Kondov, I.; Meded, V.; Wenzel, W.
2012. Internat.Symp.on Grids and Clouds (ISGC 2012), Teipei, Taiwan, February 26 - March 2, 2012
Thermoelectric transport in Bi₂Te₃/Sb₂Te₃ superlattices
Hinsche, N. F.; Yavorsky, B. Y.; Gradhand, M.; Czerner, M.; Winkler, M.; König, J.; Böttner, H.; Mertig, I.; Zahn, P.
2012. Physical Review B, 86, 085323/1–13. doi:10.1103/PhysRevB.86.085323
UNICORE based workflows for the simulation of organic light-emitting diodes
Bozic, S.; Kondov, I.; Meded, V.; Wenzel, W.
2012. UNICORE Summit 2012, Dresden, May 30-31, 2012
Resource management of distributed virtual machines
Wang, L.; Chen, D.; Tao, J.
2012. International Journal of Ad Hoc and Ubiquitous Computing, 10, 96–111. doi:10.1504/IJAHUC.2012.048261
Exerience with UNICORE services for multiscale materials modeling
Carpene, M.; Bozic, S.; Kondov, I.; Emerson, A.
2012. UNICORE Summit 2012, Dresden, May 30-31, 2012
Transparent access to scientific and commercial clouds from the Kepler workflow engine
Hardt, M.; Jejkal, T.; Campos, I.; Fernandez, E.; Jackson, A.; Nielsson, D.; Palak, B.; Plociennik, M.
2012. Computing and Informatics, 31 (1), 119–134
Properties of nuclei in dense matter and equation of state
Typel, S.; Klähn, T.; Poghosyan, G.
2012. Frühjahrstagung DPG, Fachverband Physik der Hadronen und Kerne, Mainz, 19.- 23. März 2012 Verhandlungen der Deutschen Physikalischen Gesellschaft, R.6, B.47(2012) HK 62.3
Advanced support for simulations in astro- and elementary particle physics
Poghosyan, G.
2012. COMPSTAR Arbeitskreis, Universität Wroclaw, PL, 13.Januar 2012
Dataflow management: a grand challenge in multiscale materials modelling
Bozic, S.; Kondov, I.
2012. eChallenges e-2012 Conf., Lisboa, P, October 17-19, 2012
An implementation approach for inter-cloud service combination
Tao, J.; Franz, D.; Marten, H.; Streit, A.
2012. International Journal on Advances in Software[[Elektronische Ressource]], 5 (1-2), 65–75
Achieving numerical stability in analytical computation of the molecular surface and volume
Klenin, K.; Tristram, F.; Strunk, T.; Wenzel, W.
2012. From Computational Biophysics to Systems Biology (CBSB11) : Celebrating Harold Scheraga’s 90th Birthday, Jülich, July 20-22, 2011. Ed.: P. Carloni, 75–78, Forschungszentrum Jülich
Parallelization of an efficient method for calculating born radii
Brieg, M.; Wenzel, W.
2012. From Computational Biophysics to Systems Biology (CBSB11) : Celebrating Harold Scheraga’s 90th Birthday, Jülich, July 20-22, 2011. Ed.: P. Carloni, 33–36, Forschungszentrum Jülich
Mirror images as naturally competing conformations in protein folding
Noel, J. K.; Schug, A.; Verma, A.; Wenzel, W.; Garcia, A. E.; Onuchic, J. N.
2012. The journal of physical chemistry <Washington, DC> / B, 116, 6880–6888. doi:10.1021/jp212623d
Structural basis of histidine kinase autophosphorylation deduced by integrating genomics, molecular dynamics, and mutagenesis
Dago, A. E.; Schug, A.; Procaccini, A.; Hoch, J. A.; Weigt, M.; Szurmant, H.
2012. Proceedings of the National Academy of Sciences of the United States of America, 109, E1733-E1742. doi:10.1073/pnas.1201301109
Who Got All of My Personal Data? Enabling Users to Monitor the Proliferation of Shared Personally Identifiable Information
Labitzke, S.
2012. Privacy and Identity Management for Life : 7th IFIP WG 9.2, 9.6/11.7, 11.4, 11.6/PrimeLife International Summer School, Trento, Italy, September 5-9, 2011. Ed.: J. Camenisch, 116–129, Springer Verlag
Interface morphology of pentacene and PTCDA (3,4:9,10-perylenetetracarboxylic dianhydride)
Poschlad, A.; Wenzel, W.
2012. MINOTOR Internat.Workshop on Electronic Processes at Interfaces to Organic Semiconductors : From Modelling to Devices, Mons, B, May 29-31, 2012
Large scale data facility for data intensive synchrotron beamlines
Stotzka, R.; Mexner, W.; Santos Rolo, T. dos; Pasic, H.; Wezel, J. van; Hartmann, V.; Jejkal, T.; Garcia, A.; Haas, D.; Streit, A.
2012. Contributions to the Proceedings of ICALEPS 2011 : 13th International Conference on Accelerator and Large Experimental Physics Control Systems, Grenoble, F, October 10-14, 2011. Ed.: M. Robichon, 1216–1219, ESRF - European Synchrotron Radiation Facility
Feasibility of Virtual Traffic Lights in Non-Line-Of-Sight Environments
Neudecker, T.; An, N.; Tonguz, O.; Gaugel, T.; Mittag, J.
2012. 9th ACM International Workshop on VehiculAr Inter-NETworking, Systems, and Applications, Ambleside, United Kingdom, Juni 2012
MenuMiner: Revealing the Information Architecture of Large Web Sites by Analyzing Maximal Cliques
Keller, M.; Nussbaumer, M.
2012. WWW 2012, International World Wide Web Conference : 21st World Wide Web Conference 2012, April 16 - 20, 2012, Lyon, 1025–1034, Association for Computing Machinery (ACM). doi:10.1145/2187980.2188237
FACIUS: An Easy-to-Deploy SAML-based Approach to Federate Non Web-Based Services
Köhler, J.; Labitzke, S.; Simon, M.; Nussbaumer, M.; Hartenstein, H.
2012. 11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom-2012; Liverpool; United Kingdom; 25 June 2012 through 27 June 2012, 557–564, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/TrustCom.2012.158
Status and trends in networking at LHC TIer1 facilities
Bigrow, J.; Hoeft, B.; Reymund, A.; Bobyshev, A.; DeMar, P.; Grigaliunas, V.
2012. Internat.Conf.on Computing in High Energy and Nuclear Physics (CHEP 2012), New York, N.Y., May 21-25, 2012
Charge mobilities of disordered thin films: a multiscale modelling approach
Meded, V.; Maul, R.; Danilov, D.; Kondov, I.; Wenzel, W.
2012. 5th Internat.Conf.on Molecular Materials (MOLMAT 2012), Barcelona, E, July 3-6, 2012
AutoKNF - ’end customer’ AutoBAHN deployment
Hoeft, B.; Coulouarn, T.; Stamos, K.
2012. Terena Networking Conf. (TNC 2012), Reykjavik, IS, May 21-24, 2012
From IPv4 to eternity - the high energy physics transition ito IPv6
Elias, M.; Kouba, T.; Finnern, T.; Ohrenberg, K.; Fischer, L.; Hoeft, B.; Kelsey, D.; Leinen, S.; Martelli, E.; Pfeiffer, A.; Mitchell, M.; Prelz, F.; Reale, M.; Rosza, S.; Voicu, R.; u. a.
2012. Terena Networking Conf. (TNC 2012), Reykjavik, IS, May 21-24, 2012
Distributed Simulations for 3D Ultrasound Computer Tomography. Dissertation
Hardt, M.
2012. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000028779
SLA based service brokering in intercloud environments
Jrad, F.; Tao, J.; Streit, A.
2012. 2nd Internat.Conf.on Cloud Computing and Services Science (CLOSER 2012), Porto, P, April 18-21, 2012
SLA based service brokering in intercloud environments
Jrad, F.; Tao, J.; Streit, A.
2012. 2nd Internat. Conf. on Cloud Computing and Services Science (CLOSER 2012), Porto, P, April 18-21, 2012, 76–81, SciTePress
A performance study of virtual machines on multicore architectures
Tao, J.; Fürlinger, K.; Wang, L.; Marten, H.
2012. 20th Internat. Euromicro Conf. on Parallel, Distributed, and Network- based Processing, Garching, February 15-17, 2012. Ed.: R. Stotzka, 89–96, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/PDP.2012.77
Structure simulation with calculated NMR parameters integrating COSMOS into the CCPN framework
Schneider, O.; Fogh, R. H.; Sternberg, U.; Klenin, K.; Kondov, I.
2012. Gesing, S. [Hrsg.] HealthGrid Applications and Technologies Meet Science Gateways for Life Sciences Amsterdam [u.a.] : IOS Press, 2012 (Studies in Health Technology and Informatics ; 175), 162–172
LAMBDA - the LSDF execution framework for data intensive applications
Jejkal, T.; Hartmann, V.; Stotzka, R.; Otte, J.; Garcia, A.; Wezel, J. van; Streit, A.
2012. 20th Euromicro Internat.Conf.on Parallel, Distributed and Network-based Processing, Garching, February 15-17, 2012
A Federated Data Zone for the Arts and Humanities
Tonne, D.; Stotzka, R.; Jejkal, T.; Hartmann, V.; Pasic, H.; Rapp, A.; Vanscheidt, P.; Neumair, B.; Streit, A.; Garcia, A.; Kurzawe, D.; Kalman, T.; Rybicki, J.; Sanchez Bribian, B.
2012. 20th Euromicro Internat.Conf.on Parallel, Distributed and Network-based Processing, Garching, February 15-17, 2012
LAMBDA - the LSDF execution framework for data intensive applications
Jejkal, T.; Hartmann, V.; Stotzka, R.; Otte, J.; Garcia, A.; Wezel, J. van; Streit, A.
2012. 20th Internat. Euromicro Conf. on Parallel, Distributed, and Network-based Processing, Garching, February 15-17, 2012. Ed.: R. Stotzka, 213–220, IEEE Computer Society
A Federated Data Zone for the Arts and Humanities
Tonne, D.; Stotzka, R.; Jejkal, T.; Hartmann, V.; Pasic, H.; Rapp, A.; Vanscheidt, P.; Neumair, B.; Streit, A.; Garcia, A.; Kurzawe, D.; Kalman, T.; Rybicki, J.; Sanchez Bribian, B.
2012. 20th Internat. Euromicro Conf. on Parallel, Distributed, and Network-based Processing, Garching, February 15-17, 2012. Ed.: R. Stotzka, 198–205, IEEE Computer Society
Structure simulation with calculated NMR parameters. Integrating COSMOS into the CCPN framework
Schneider, O.; Fogh, R.; Sternberg, U.; Klenin, K.; Kondov, I.
2012. 4th Internat.Workshop on Science Gateways for Life Sciences, Amsterdam, NL, May 23-25, 2012
Convection-permitting climate simulations for North Africa
Bischoff-Gauß, I.; Kalthoff, N.; Klüpfel, V.; Panitz, H. J.; Gantner, L.
2012. NIC Symp.2012, Jülich, February 7-8, 2012
CPU benchmarking at GridKa
Alef, M.
2012. HEPiX Spring 2012 Workshop, Praha, CZ, April 23-27, 2012
A performance study of virtual machines on multicore architectures
Tao, J.; Fürlinger, K.; Wang, L.; Marten, H.
2012. 20th Euromicro Internat.Conf.on Parallel, Distributed and Network-Based Processing (PDP 2012), Garching, February 15-17, 2012
Integrated services for multiscale modelling of materials using the UNICORE middleware
Kondov, I.; Bozic, S.; Meded, V.; Wenzel, W.
2012. MAPPER 1st Seasonal School, London, GB, February 1-2, 2012
bwIDM : Föderieren auch nicht-webbasierter Dienste auf Basis von SAML
Simon, M.; Waldvogel, M.; Schober, S.; Semaan, S.; Nussbaumer, M.
2012. 5. DFN-Forum Komunikationstechnologien : Verteilte Systeme im Wissenschaftsbereich, Regensburg, Deutschland, 21. - 22. Mai 2012. Hrsg.: P. Müller, 119–128, Gesellschaft für Informatik (GI)
Data Outsourcing Simplified: Generating Data Connectors from Confidentiality and Access Policies
Jünemann, K.; Köhler, J.; Hartenstein, H.
2012. Workshop on Data-intensive Process Management in Large-Scale Sensor Systems (DPMSS 2012), Proceedings of the 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2012), Ottawa, Canada, Mai 2012, 923–930, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CCGrid.2012.117
Accurate Simulation of Wireless Vehicular Networks Based on Ray Tracing and Physical Layer Simulation
Gaugel, T.; Reichardt, L.; Mittag, J.; Zwick, T.; Hartenstein, H.
2012. High performance computing in science and engineering ’ 11 : transactions of the High Performance Computing Center, Stuttgart (HLRS) 2011. Ed.: W. E. Nagel, 619–630, Springer Verlag. doi:10.1007/978-3-642-23869-7_45
Who got all of my personal data? Enabling users to monitor the proliferation of shared personally identifiable information
Labitzke, S.
2012. Privacy and Identity Management for Life : Proceedings of the 7th IFIP WG 9.2, 9.6/11.7, 11.4, 11.6/PrimeLife International Summer School, Revised Selected Papers, Trento, Italy, 5th - 9th September 2011. Ed.: J. Camenisch, 116–129, Springer Verlag. doi:10.1007/978-3-642-31668-5_9
2011
Simulation of polar stratospheric clouds in the chemistry-climate-model EMAC via the submodel PSC
Kirner, O.; Ruhnke, R.; Buchholz-Dietsch, J.; Jöckel, P.; Brühl, C.; Steil, B.
2011. Geoscientific Model Development, 4, 169–182. doi:10.5194/gmd-4-169-2011
Northern Hemisphere atmospheric influence of the solar proton events and ground level enhancement in January 2005
Jackman, C. H.; Marsh, D. R.; Vitt, F. M.; Roble, R. G.; Randall, C. E.; Bernath, P. F.; Funke, B.; Lopez-Puertas, M.; Versick, S.; Stiller, G. P.; Tylka, A. J.; Fleming, E. L.
2011. Atmospheric Chemistry and Physics, 11 (13), 6153–6166. doi:10.5194/acp-11-6153-2011
Composition changes after the "Halloween" solar proton event : the high-energy particle precipitation in the atmosphere (HEPPA) model versus MIPAS data intercomparison study
Funke, B.; Baumgaertner, A.; Calisto, M.; Egorova, T.; Jackman, C. H.; Kieser, J.; Krivolutsky, A.; Lopez-Puertas, M.; Marsh, D. R.; Reddmann, T.; Rozanov, E.; Salmi, S. M.; Sinnhuber, M.; Stiller, G. P.; Verronen, P. T.; u. a.
2011. Atmospheric chemistry and physics, 11 (17), 9089–9139. doi:10.5194/acp-11-9089-2011
Integration of D-Grid sites in NGI-DE monitoring
Jrad, F.
2011. NGi-DE Jahrestagung 2011, Garching, 18.-20.Mai 2011
Protein structure prediction using particle swarm optimization and a distributed parallel approach
Kondov, I.; Berlich, R.
2011. Compilation Proceedings of the 8th IEEEInternat.Conf.on Autonomic Computing (ICAC 2011) and Co-located Workshops ACE’11, BADS’11, IEEMC’11 and OC’11, Karlsruhe, June 14-18, 2011 New York, N.Y. : ACM, 2011 CD-ROM, 35–42
An Intuitive Framework for Accessing Computing Clouds
Tao, J.; Marten, H.; Kramer, D.; Karl, W.
2011. Procedia Computer Science, 4, 2049–2057. doi:10.1016/j.procs.2011.04.224
Integrating genomic information with molecular simulation for protein complex prediction
Schug, A.
2011. Workshop on Computer Simulation and Theory of Macromolecules, Hünfeld, April 15- 17, 2011
Integrating genomic information with molecular simulation to understand complex and active conformation formation in two-component signaling
Schug, A.
2011. Dynamics, Function, and Design of Biological Macromolecules : Joint Meeting of Swedish and German Biophysical Society, Huenfeld, June 2-4, 2011
Multiscale simulation of regulatory RNAs and two component signal transduction
Schug, A.
2011. SimLabs at KIT and FZJ, Karlsruhe, June ?? 2011
Multiscale biomolecular simulation
Schug, A.
2011. Workshop ’SimLabs and EMCL’, Karlsruhe, August ??, 2011
Integrating genomic information with molecular simulation to understand protein complex- and active conformation formation in two-component signal transduction
Schug, A.; Szurmant, H.; Weigt, M.
2011. Summer Retreat for Bio-Interfaces, Bad Herrenalb, August 31 - September 2, 2011 11th KIAS Conf.on Protein Structure and Function, Seoul, Korea, October 6-8, 2011
To whom will all the data flow? Enable users to monitor the proliferation of shared information
Labitzke, S.; Hartenstein, H.
2011. Federated Social Web Conference - W3C/PrimeLife Workshop on Social Network Interoperability & Privacy (FSW), Berlin (Germany), June 3rd to 5th 2011
5.9 GHz inter-vehicle communication at intersections: a validated non-line-of-sight path-loss and fading model
Mangel, T.; Klemp, O.; Hartenstein, H.
2011. EURASIP journal on wireless communications and networking, 1, Art. Nr.: 182. doi:10.1186/1687-1499-2011-182
Requirements of an e-science infrastructure interoperability reference model
Riedel, M.; Streit, A.; Kranzlmüller, D.; Mallmann, D.; Lippert, T.
2011. MIPRO 2011 : 34th Internat.Convention on Information and Communication Technology, Electronics and Microelectronics, Opatija, HR, May 23-27, 2011
xGUS - ein Helpdesk für den User Support im Grid
Reißer, S.; Bozic, S.
2011. 4.Workshop Grid-Technologie für den Entwurf technischer Systeme, Frauhofer IIS/EAS, Dresden, 21.-22.September 2011
Integrating genomic information with molecular simulation to understand two-component signal transduction
Schug, A.; Heuermann, G.
2011. Mikrobiologisches / Genetisches Kolloquium, LMU, München, Dezember 2011
Funding boost development through national and international research programs
Berlich, R.
2011. Boost Libraries Conf.2011 (boostcon), Aspen, Colo., May 15-20, 2011
Distributed parametric optimization with the Geneva library collection
Berlich, R.
2011. Boost Libraries Conf.2011 (boostcon), Aspen, Colo., May 15-20, 2011
Applying distributed parametric optimization algorithms to partial wave analysis
Berlich, R.
2011. Internat.Symp.on Grids and Clouds (ISGC 2011), Taipei, Taiwan, March 19-25, 2011
Parametric optimization in parallel and distributed environments
Berlich, R.; Garcia, A.
2011. Internat.Symp.on Grids and Clouds (ISGC 2011), Taipei, Taiwan, March 19-25, 2011
Grid computing in Germany and the quest for sustainability
Berlich, R.
2011. Internat.Symp.on Grids and Clouds (ISGC 2011), Taipei, Taiwan, March 19-25, 2011
Parametric optimization in parallel and distributed environments
Berlich, R.; Kondov, I.
2011. CeBIT 2011, Hannover, March 1-5, 2011
The large scale data facility at KIT
Garcia, A.
2011. IBM SONAS Customer Days, Mainz, November 3, 2011
The storage is the computer
Wezel, J. van
2011. DDN User Group Meeting at Internat.Supercomputing Conf.(ISC 2011), Hamburg, June 19-23, 2011
xGUS - the EGI helpdesk template
Grin, G.
2011. EGI Technical Forum, Lyon, F, September 19-23, 2011
GGUS - the EGI helpdesk
Grein, G.
2011. EGI Technical Forum, Lyon, F, September 19-23, 2011
Supporting distributed computing infrastructures in Europe and beyond
Antoni, T.
2011. Internat.Symp.on Grids and Clouds (ISGC 2011), Taipei, Taiwan, March 19-25, 2011 EGI User Forum, Vilnius, LT, April 11-14, 2011
Gatlet - a Grid portal framework
Antoni, T.; Boegel, B.; Bozic, S.
2011. Internat.Symp.on Grids and Clouds (ISGC 2011), Taipei, Taiwan, March 19-25, 2011 EGI User Forum, Vilnius, LT, April 11-14, 2011
D-Grid, the national German Grid initiative, and the quest for sustainability
Berlich, R.
2011. Internat.Symp.on Grids and Clouds (ISGC 2011), Taipei, Taiwan, March 19-25, 2011
Perspectives of Grid computing in Germany and in the international context
Berlich, R.
2011. Abschluss Workshop des GapSLC Projektes, Tübingen, 9.Juni 2011
O-O abd I-I interfaces in MD and MC simulations for OLEDs
Poschlad, A.; Wenzel, W.
2011. MINOTOR Project Meeting, Enschede, NL, November 17, 2011
EMAC at simulation lab climate and environment
Kirner, O.; Bischoff-Gauss, I.; Versick, S.
2011. 1st Annual EMAC Symp., Oberpfaffenhofen, January 25-27, 2011
The SLA4D-Grid initiative
Berlich, R.; Wieder, P.
2011. Internat.Symp.on Grids and Clouds (ISGC 2011), Taipei, Taiwan, March 19-25, 2011
Grid computing in Germany and in the international context
Berlich, R.
2011. CeBIT 2011, Hannover, March 1-5, 2011
xGUS - a helpdesk template
Antoni, T.; Reisser, S.
2011. EGI User Forum, Vilnius, LT, April 11-14, 2011
Integration of UNICORE 6 into the gatlet portal framework
Antoni, T.; Bender, A.; Bögel, B.; Bozic, S.
2011. UNICORE Summit 2011, Torun, PL, July 7-8, 2011
A new ion rate dependent parameterization for HNO3 buildup on water cluster ions
Versick, S.; Reddmann, T.; Stiller, G.; Funke, B.
2011. European Geosciences Union (EGU) General Assembly, Wien, A, April 3-8, 2011 Geophysical Research Abstracts, 13(2011) EGU2011-8995-2
Comparison of H2O2 model results with different reaction rates to MIPAS observations
Versick, S.; Reddmann, T.; Stiller, G.; Clarmann, T. von
2011. (IMK-ASF Team, Hrsg.), European Geosciences Union (EGU) General Assembly, Wien, A, April 3-8, 2011 Geophysical Research Abstracts, 13(2011) EGU2011-9032-2
The development of the stratospheric polar ozone distribution performed in EMAC-long term simulations with different boundary conditions for CO2, CH4 and N2O
Kirner, O.; Ruhnke, R.
2011. European Geosciences Union (EGU) General Assembly, Wien, A, April 3-8, 2011 Geophysical Research Abstracts, 13(2011) EGU2011-1384
Simulation laboratories for climate sciences and environmental research
Hoffmann, L.; Gibbon, P.; Kirner, O.; Versick, S.
2011. European Geosciences Union (EGU) General Assembly, Wien, A, April 3-8, 2011 Geophysical Research Abstracts, 13(2011) EGU2011-8307-1
Requirements of an e-science infrastructure interoperability reference model
Riedel, M.; Streit, A.; Kranzlmüller, D.; Mallmann, D.; Lippert, T.
2011. Biljanovic, P. [Hrsg.] MIPRO 2011 : 34th Internat.Convention on Information and Communication Technology, Electronics and Microelectronics, Opatija, HR, May 23-27, 2011 Proc.on CD-ROM Rijeka : MIPRO, 2011, 221–226
Integration of UNICORE 6 into the gatlet portal framework
Antoni, T.; Bender, A.; Bögel, B.; Bozic, S.
2011. Romberg, M. [Hrsg.] UNICORE Summit 2011, Torun, PL, July 7-8, 2011 Proc. Jülich : Forschungszentrum Jülich GmbH, 2011 (Schriften des Forschungszentrums Jülich : IAS Series ; Vol.9) Publ.online, 51–56
xGUS - ein Helpdesk für den User Support im Grid
Reißer, S.; Bozic, S.
2011. 4.Workshop Grid-Technologie für den Entwurf technischer Systeme, Frauhofer IIS/EAS, Dresden, 21.-22.September 2011 Tagungsband Dresden : Fraunhofer IIS / EAS, 2011
High performance computing as a service
Baun, C.; Kunze, M.; Kurze, T.; Mauch, V.
2011. Foster, I. [Hrsg.] High Performance Computing : From Grids and Clouds to Exascale Amsterdam [u.a.] : IOS Press, 2011 (Advances in Parallel Computing ; 20), 109–123
Von 0x-en und 11-en - C 11: Neue Funktionen und bessere Performance
Berlich, R.
2011. ix - Magazin für professionelle Informationstechnik, (10), 108
Abgefangen - Sicherheit im Wissenschafts-Grid im Unterschied zur Cloud
Berlich, R.
2011. ix - Magazin für professionelle Informationstechnik, 2011 (12), 122
Private Cloud-Infrastrukturen und Cloud-Plattformen
Baun, C.; Kunze, M.; Kurze, T.; Mauch, V.
2011. Informatik-Spektrum, 34, 242–254. doi:10.1007/s00287-011-0533-z
A homogeneous non-equilibrium two-phase critical flow model
Travis, J. R.; Breitung, W.; Piccioni Koch, D.; Jordan, T.
2011. 4th Internat.Conf.on Hydrogen Safety (ICHS 2011), San Francisco, Calif., September 12-14, 2011
Real-gas equations of state for the gasflow CFD code
Travis, J. R.; Xiao, J.; Xu, Z.; Piccioni Koch, D.; Jordan, T.
2011. 4th Internat.Conf.on Hydrogen Safety (ICHS 2011), San Francisco, Calif., September 12-14, 2011
Simulations using parallelized CORSIKA
Poghosyan, G.; Engel, R.; Heck, D.; Karla, S.; Pierog, T.; Sharma, S.; Singla, H.; Thiara, G.
2011. Computing in der Astroteilchenphysik in Deutschland, Berlin, 13.Dezember 2011
Tridiagonal preconditioning for Poisson-like difference equations with flat grids: application to incompressible atmospheric flow
Fiebig-Wittmaack, M.; Börsch-Supan, W.; Bischoff-Gauss, I.; Astudillo, O.
2011. Journal of Computational and Applied Mathematics, 236, 1435–1441. doi:10.1016/j.cam.2011.09.007
Extending Microsoft Project for Real-World Job-Shop Scheduling
Steininger, P.
2011. Proceedings of the Fifth International Conference on Advanced Engineering Computing and Applications in Sciences (ADVCOMP 2011), Lisbon, Portugal, November 20-25, 2011. Ed.: S. Omatu, 94–99, International Academy, Research, and Industry Association (IARIA)
Benchmarking Real-World Job-Shop Scheduling using a Genetic Algorithm with a Simulation Approach
Steininger, P.
2011. Proceedings of the 10th International Conference on Modeling and Applied Simulation (MAS 2011), Rome, Italy, 12-14 September 2011. Ed.: A. Bruzzone, 179–184, DIPTEM University of Genoa
Towards providing cloud functionalities for Grid users
Peng, W.; Tao, J.; Wang, L.; Marten, H.; Chen, D.
2011. 17th IEEE Internat.Conf. on Parallel and Distributed Systems, Tainan, Taiwan, December 7-9, 2011
Energy-aware high performance computing. A taxonomy study
Cai, C.; Wang, L.; Khan, S. U.; Tao, J.
2011. 17th IEEE Internat.Conf. on Parallel and Distributed Systems, Tainan, Taiwan, December 7-9, 2011
Towards providing cloud functionalities for Grid users
Peng, W.; Tao, J.; Wang, L.; Marten, H.; Chen, D.
2011. Proc.of the 17th IEEE Internat.Conf. on Parallel and Distributed Systems (ICPADS 2011), Tainan, Taiwan, December 7-9, 2011 Los Alamitos : IEEE Computer Society, 2011, 965–970. doi:10.1109/ICPADS.2011.140
Energy-aware high performance computing. A taxonomy study
Cai, C.; Wang, L.; Khan, S. U.; Tao, J.
2011. Proc.of the 17th IEEE Internat.Conf. on Parallel and Distributed Systems (ICPADS 2011), Tainan, Taiwan, December 7-9, 2011 Los Alamitos : IEEE Computer Society, 2011, 953–958. doi:10.1109/ICPADS.2011.59
Availability measurement of grid services from the perspective of a scientific computing centre
Marten, H.; König, T.
2011. Internat.Conf.on Computing in High Energy and Nuclear Physics (CHEP 2010), Taipei, Taiwan, October 18-22, 2010
Observed and simulated trends of HCl, ClONO₂ and HF total column abundances
Kohlhepp, R.; Ruhnke, R.; Chipperfield, M. P.; Maziere, M. de; Notholt, J.; Barthlott, S.; Batchelor, R. L.; Blatherwick, R. D.; Blumenstock, T.; Coffey, M. T.; Duchatelet, P.; Fast, H.; Feng, W.; Goldman, A.; Griffith, D. W. T.; u. a.
2011. 2011 NDACC Symp. (Network for the Detection of Atmospheric Composition Change), Saint Paul, Reunion, F, November 7-10, 2011
Availability measurement of grid services from the perspective of a scientific computing centre
Marten, H.; König, T.
2011. Journal of Physics: Conference Series, 331, 062038/1–7. doi:10.1088/1742-6596/331/6/062038
Large scale data facility for data intensive synchrotron beamlines
Stotzka, R.; Mexner, W.; Santos Rolo, T. dos; Pasic, H.; Wezel, J. van; Hartmann, V.; Jejkal, T.; Garcia, A.; Haas, D.; Streit, A.
2011. 13th International Conference on Accelerator and Large Experimental Physics Control Systems (ICALEPCS 2011), Grenoble, F, October 10-14, 2011
Integration of COSMOS into the CCPN framework
Klenin, K.; Schneider, O.; Jakovkin, I.; Sternberg, U.; Kondov, I.
2011. CCPN Europa 2011 : Supporting best Practice in Biomolecular NMR, Lisboa, P, September 28-30, 2011
UNICORE-based integrated application services for multiscale materials modeling
Kondov, I.; Maul, R.; Bozic, S.; Meded, V.; Wenzel, W.
2011. Romberg, M. [Hrsg.] UNICORE Summit 2011, Torun, PL, July 7-8, 2011 Proc. Jülich : Forschungszentrum Jülich GmbH, 2011 (Schriften des Forschungszentrums Jülich : IAS Series ; Vol.9) Publ.online, 1–10
Multiscale materials modeling within UNICORE framework
Meded, V.; Kondov, I.; Bozic, S.; Wenzel, W.
2011. Towards a Multi-Scale Multi-Phenomena Modelling : Simulation Design, Engineering Environment and Tools ; Workshop, Bruxelles, B, September 22, 2011
High-level support for simulations in astro- and elementary particle physics
Poghosyan, G.; Seldner, D.
2011. Surveys and Simulations : The Real and the Virtual Universe ; Annual Meeting of the Astronomische Gesellschaft, Heidelberg, September 19-23, 2011
UNICORE-based integrated application services for multiscale materials modeling
Kondov, I.; Maul, R.; Bozic, S.; Meded, V.; Wenzel, W.
2011. UNICORE Summit 2011, Torun, PL, July 7-8, 2011
PowerBornRadii: A fast and accurate method for calculating born radii
Brieg, M.; Wenzel, W.
2011. Workshop on Computer Simulation and Theory of Macromolecules, Hünfeld, April 15- 17, 2011
Parallelization of an efficient method for calculating born radii
Brieg, M.; Wenzel, W.
2011. Workshop ’From Computational Biophysics to Systems Biology’ (CBSB11), Jülich, July 20-22, 2011 Fast Methods for Long-Range Interactions in Complex Systems : CECAM Summer School, Jülich, September 12-16, 2011
Integrated services for multiscale materials modelling and simulation
Kondov, I.; Meded, V.; Bozic, S.; Wenzel, W.
2011. 12th ’Trends in Nanotechnology’ Conf. (TNT2011), Tenerife, E, November 21-25, 2011
Data management and analysis at the large scale data facility
Garcia, A. O.; Bourov, S.; Hammad, A.; Jejkal, T.; Otte, J. C.; Pfeiffer, S.; Schenker, T.; Schmidt, C.; Wezel, J. van; Neumair, B.; Streit, A.
2011. Proc.of the 6th Internat.Conf.on Digital Information Management (ICDIM 2011), Melbourne, AUS, September 14-16, 2011 Los Alamitos : IEEE Computer Society Press, 2011, 235–241. doi:10.1109/ICDIM.2011.6093357
Recent Developments for the GASFLOW CFD Code: Real Gas Equations of State
Travis, J.; Xiao, J.; Xu, Z.; Piccioni Koch, D.
2011. Computational Methods in Science and Engineering - Proceedings of the Workshop SimLabs@KIT, November 29 - 30, 2010, Karlsruhe, Germany. Ed.: I. Kondov, 149–160, KIT Scientific Publishing
SimLab Energy
Schneider, O.
2011. Computational Methods in Science and Engineering - Proceedings of the Workshop SimLabs@KIT, November 29 - 30, 2010, Karlsruhe, Germany. Ed.: I. Kondov, 131–134, KIT Scientific Publishing
Simulation Laboratory Earth and Environment
Kirner, O.; Versick, S.; Bischoff-Gauß, I.; Hoffmann, L.
2011. Computational Methods in Science and Engineering - Proceedings of the Workshop SimLabs@KIT, November 29 - 30, 2010, Karlsruhe, Germany. Ed.: I. Kondov, 101–107, KIT Scientific Publishing
Challenges of simulating air showers at ultra-high energy
Heck, D.; Engel, R.; Pierog, T.; Poghosyan, G.; Seldner, D.; Schmitz, F.; Thiara, G.; Karla, S.; Singla, H.
2011. Computational Methods in Science and Engineering - Proceedings of the Workshop SimLabs@KIT, November 29 - 30, 2010, Karlsruhe, Germany. Ed.: I. Kondov, 87–90, KIT Scientific Publishing
Simulation Laboratory Astro- and Elementary Particle Physics
Poghosyan, G.; Seldner, D.; Schmitz, F.
2011. Computational Methods in Science and Engineering - Proceedings of the Workshop SimLabs@KIT, November 29 - 30, 2010, Karlsruhe, Germany. Ed.: I. Kondov, 77–83, KIT Scientific Publishing
All-Atom Replica Exchange Simulations of Denaturant Induced Partial Unfolding of RNaseH
Widmaier, S.; Kondov, I.; Wenzel, W.
2011. Computational Methods in Science and Engineering - Proceedings of the Workshop SimLabs@KIT, November 29 - 30, 2010, Karlsruhe, Germany. Ed.: I. Kondov, 59–66, KIT Scientific Publishing
Highly efficient numerical implementation of the Chalker - Coddington network model and applications
Bera, S.; Evers, F.; Kondov, I.
2011. Computational Methods in Science and Engineering - Proceedings of the Workshop SimLabs@KIT, November 29 - 30, 2010, Karlsruhe, Germany. Ed.: I. Kondov, 47–57, KIT Scientific Publishing
Multiscale materials and biomolecular simulations at Simulation Lab NanoMikro
Kondov, I.; Maul, R.; Klenin, K.; Brieg, M.; Poschlad, A.; Bagrets, A.; Meded, V.; Bozic, S.
2011. Computational Methods in Science and Engineering - Proceedings of the Workshop SimLabs@KIT, November 29 - 30, 2010, Karlsruhe, Germany. Ed.: I. Kondov, 5–15, KIT Scientific Publishing
Data-intensive analysis for scientific experiments at the large scale data facility
Garcia, A. O.; Bourov, S.; Hammad, A.; Hartmann, V.; Jejkal, T.; Otte, J. C.; Pfeiffer, S.; Schenker, T.; Schmidt, C.; Neuberger, P.; Stotzka, R.; Wezel, J. van; Neumair, B.; Streit, A.
2011. IEEE Symp.on Large-Scale Data Analysis and Visualization (LDAC), Providence, R.I., October 23-24, 2011
Design Methodology and Evaluation of Rate Adaptation Based Congestion Control for Vehicle Safety Communications
Tielert, T.; Jiang, D.; Chen, Q.; Delgrossi, L.; Hartenstein, H.
2011. 2011 IEEE Vehicular Networking Conference, VNC 2011; Amsterdam; Netherlands; 14 November 2011 through 16 November 2011, 116–123, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/VNC.2011.6117132
5.9 GHz IEEE 802.11p Inter-Vehicle Communication: Non-Line-Of-Sight Reception Under Competition
Mangel, T.; Hartenstein, H.
2011. 2011 IEEE Vehicular Networking Conference, VNC 2011; Amsterdam; Netherlands; 14 November 2011 through 16 November 2011, 155–162, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/VNC.2011.6117137
The KOALA cloud manager: cloud service management the easy way
Baun, C.; Kunze, M.; Mauch, V.
2011. 4th Internat.Conf.on Cloud Computing (Cloud 2011), Washington, D.C., July 4-9, 2011
The large scale data facility: data intensive computing for scientific experiments
Garcia, A.; Bourov, S.; Hammad, A.; Wezel, J. van; Neumair, B.; Streit, A.; Hartmann, V.; Jejkal, T.; Neuberger, P.; Stotzka, R.
2011. Proc.of the 25th IEEE International Parallel & Distributed Processing Symp. (IPDPS-11), Anchorage, Alaska, May 16-20, 2011 Los Alamitos, Calif. : IEEE Computer Society, 2011 Also publ.online, 1467–1474. doi:10.1109/IPDPS.2011.286
The KOALA cloud manager: cloud service management the easy way
Baun, C.; Kunze, M.; Mauch, V.
2011. Liu, L. [Hrsg.] Proc. of the 2011 IEEE 4th Internat.Conf.on Cloud Computing (Cloud 2011), Washington, D.C., July 4-9, 2011 Los Alamitos, Calif. : IEEE Computer Society, 2011, 744–745. doi:10.1109/CLOUD.2011.64
Die neuronale Repräsentation von Handbewegungen in einer Virtual-Reality-Umgebung zur Behandlung von Phantomschmerz
Müller, M.; Kamping, S.; Diers, M.; Bach, F.; Maaß, H.; Cakmak, H. K.; Yilmaz, P.; Rance, M.; Bekrater-Bodmann, R.; Foell, J.; Trojan, J.; Flor, H.
2011. Deutscher Schmerzkongress, Mannheim, 5.- 8.Oktober 2011 Der Schmerz, 25(2011) Suppl.1 (Abstract)