Publikationsliste

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

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

Exploring Scheduling for On-demand File Systems and Data Management within HPC Environments. PhD dissertation
Soysal, M.
2021, March 17. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000130537/v2

UNICORE Services für die Anwendungen Turbomole und eSBMTools
Poschlad, A.; Nilsen, D.; Soysal, M.; Kondov, I.
2015. SCC-News, 2015, 14–15

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

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

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

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

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

Batch Job Scheduling Using Enhanced Walltime Prediction
Klusáček, D.; Soysal, M.
2018. CGW Workshop ’18 (CGW’18), Kraków, PL, 22-24 October 2018, AGH

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

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

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), Kyoto, Japan, August 5, 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, July 17. 17th International Conference on High Performance Computing & Simulation (HPCS 2019), Dublin, Ireland, July 15–19, 2019

Analysis of Job Metadata for Enhanced Wall Time Prediction
Soysal, M.; Berghoff, M.; Streit, A.
2018. JSSPP (2018), Vancouver, Canada, May 21–25, 2018

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, October 5. Helmholtz Metadata Collaboration | Conference 2022 (2022), Online, October 5–6, 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.; Pfeil, A.; Shakeel, Y.; Soysal, M.; Tonne, D.; Tögel, P.; Vitali, E.
2022, October 5. Helmholtz Metadata Collaboration | Conference 2022 (2022), Online, October 5–6, 2022

NFDI-MatWerk - Reference Datasets
Shakeel, Y.; Soysal, M.; Vitali, E.; Ost, P.
2022, October 5. Helmholtz Metadata Collaboration | Conference 2022 (2022), Online, October 5–6, 2022

ADA-FS: Advanced Data Placement via Ad-hoc File Systems
Soysal, M.; Vef, M.-A.; Oeste, S.; Streit, A.; Brinkmann, A.; Kluge, M.
2017, June. ISC (2017), Frankfurt am Main, Germany, June 18–22, 2017

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