Hartwig Anzt
- Research Group Leader
-
hartwig anzt ∂does-not-exist.kit edu
Lebenslauf
Hartwig Anzt ist Forschungsgruppenleiter und Juniorprofessor am Steinbuch Centre for Computing des Karlsruher Instituts für Technologie (KIT). Nach seiner Promotion in der angewandten Mathematik am Karlsruher Institut für Technologie in 2013 wechselte er 2013 in das Innovative Computing Lab von Jack Dongarra an der University of Tennessee. 2017 gründete er am KIT seine eigene Forschungsgruppe. Er unterstützt das Innovative Computing Lab weiterhin als Research Consultant. Hartwig Anzt forscht an iterativen Verfahren und Vorkonditionierern für die nächste Generation von Hardwarearchitekturen. Desweiteren ist ein Fokus auf der Dissemination der neuen Algorithmen in hochwertiger Software. Er ist Autor des Open-Source-Softwarepakets MAGMA-sparse und verantwortlicher Leiter der Ginkgo-Bibliothek für numerische lineare Algebra. Hartwig Anzt ist Level-4 PI im US Exascale Computing Project (ECP) und PI im EuroHPC-Projekt MICROCARD.
Publikationsliste KIT-Open
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 AG. doi:10.1007/978-3-031-23606-8_3
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 AG. doi:10.1007/978-3-031-23606-8_3
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
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
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
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
Providing performance portable numerics for Intel GPUs
Tsai, Y.-H. M.; Cojean, T.; Anzt, H.
2022. Concurrency and Computation: Practice and Experience, Art.-Nr.: e7400. doi:10.1002/cpe.7400
Tsai, Y.-H. M.; Cojean, T.; Anzt, H.
2022. Concurrency and Computation: Practice and Experience, Art.-Nr.: e7400. doi:10.1002/cpe.7400
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. doi:10.1177/10943420221115140
Aliaga, J. I.; Anzt, H.; Grützmacher, T.; Quintana-Ortí, E. S.; Tomás, A. E.
2022. The International Journal of High Performance Computing Applications. doi:10.1177/10943420221115140
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
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
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
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
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
Cojean, T.; Tsai, Y.-H. M.; Anzt, H.
2022. Parallel Computing, 111, Art.-Nr.: 102902. doi:10.1016/j.parco.2022.102902
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
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
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
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
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
Grützmacher, T.; Anzt, H.; Quintana-Ortí, E. S.
2023. Software - Practice and Experience, 531 (1), 81–98. doi:10.1002/spe.3041
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
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
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
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
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
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 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.; Dabrowski, P. W.; Ebert, P.; Flemisch, B.; Friedl, S.; Fritzsch, B.; Funk, M. D.; Gast, V.; Goth, F.; Grad, J.-N.; Hegewald, J.; Hermann, S.; Hohmann, F.; Janosch, S.; Kutra, D.; Linxweiler, J.; Muth, T.; Peters-Kottig, W.; Rack, F.; Raters, F. H. C.; Rave, S.; Reina, G.; Reißig, M.; Ropinski, T.; Schaarschmidt, J.; Seibold, H.; Thiele, J. P.; Uekermann, B.; Unger, S.; Weeber, R.
2021. F1000Research, 9, 295. doi:10.12688/f1000research.23224.2
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.; Dabrowski, P. W.; Ebert, P.; Flemisch, B.; Friedl, S.; Fritzsch, B.; Funk, M. D.; Gast, V.; Goth, F.; Grad, J.-N.; Hegewald, J.; Hermann, S.; Hohmann, F.; Janosch, S.; Kutra, D.; Linxweiler, J.; Muth, T.; Peters-Kottig, W.; Rack, F.; Raters, F. H. C.; Rave, S.; Reina, G.; Reißig, M.; Ropinski, T.; Schaarschmidt, J.; Seibold, H.; Thiele, J. P.; Uekermann, B.; Unger, S.; Weeber, R.
2021. F1000Research, 9, 295. doi:10.12688/f1000research.23224.2
Preparing Ginkgo for AMD GPUs – A Testimonial on Porting CUDA Code to HIP
Tsai, Y. M.; Cojean, T.; Ribizel, T.; Anzt, H.
2020. doi:10.5445/IR/1000131542
Tsai, Y. M.; Cojean, T.; Ribizel, T.; Anzt, H.
2020. doi:10.5445/IR/1000131542
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
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
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
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
Anzt, H.; Kuehn, E.; Flegar, G.
2021. Journal of computational science, 49, Art.-Nr.: 101278. doi:10.1016/j.jocs.2020.101278
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
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
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
Nayak, P.; Cojean, T.; Anzt, H.
2021. The international journal of high performance computing applications, 35 (3), 226–236. doi:10.1177/1094342020946814
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
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
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.; Dabrowski, P. W.; Ebert, P.; Flemisch, B.; Friedl, S.; Fritzsch, B.; Funk, M. D.; Gast, V.; Goth, F.; Grad, J.-N.; Hermann, S.; Hohmann, F.; Janosch, S.; Kutra, D.; Linxweiler, J.; Muth, T.; Peters-Kottig, W.; Rack, F.; Raters, F. H. C.; Rave, S.; Reina, G.; Reißig, M.; Ropinski, T.; Schaarschmidt, J.; Seibold, H.; Thiele, J. P.; Uekermann, B.; Unger, S.; Weeber, R.
2020. F1000Research, 9, Article no: 295. doi:10.12688/f1000research.23224.1
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.; Dabrowski, P. W.; Ebert, P.; Flemisch, B.; Friedl, S.; Fritzsch, B.; Funk, M. D.; Gast, V.; Goth, F.; Grad, J.-N.; Hermann, S.; Hohmann, F.; Janosch, S.; Kutra, D.; Linxweiler, J.; Muth, T.; Peters-Kottig, W.; Rack, F.; Raters, F. H. C.; Rave, S.; Reina, G.; Reißig, M.; Ropinski, T.; Schaarschmidt, J.; Seibold, H.; Thiele, J. P.; Uekermann, B.; Unger, S.; Weeber, R.
2020. F1000Research, 9, Article no: 295. doi:10.12688/f1000research.23224.1
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
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
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
Parallel selection on GPUs
Ribizel, T.; Anzt, H.
2019. Parallel computing, 91, Article: 102588. doi:10.1016/j.parco.2019.102588
Ribizel, T.; Anzt, H.
2019. Parallel computing, 91, Article: 102588. doi:10.1016/j.parco.2019.102588
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
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
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
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
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
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
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
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
Grützmacher, T.; Cojean, T.; Flegar, G.; Göbel, F.; Anzt, H.
2020. Concurrency and computation, 32 (15), Article: e5418. doi:10.1002/cpe.5418
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
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
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
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
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
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
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
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
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
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
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
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
Götz, M.; Anzt, H.
2018. ScalA18: 9th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, Dallas, TX, November 12, 2018
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
Anzt, H.; Chow, E.; Dongarra, J.
2018. SIAM journal on scientific computing, 40 (4), C503–C519. doi:10.1137/16M1079506
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
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
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
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
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
Anzt, H.; Dongarra, J.; Flegar, G.; Quintana-Ortí, E. S.
2018. Parallel computing, 81, 131–146. doi:10.1016/j.parco.2017.12.006
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
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
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
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
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
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
Anzt, H.; Huckle, T. K.; Bräckle, J.; Dongarra, J.
2018. Parallel computing, 71, 1–22. doi:10.1016/j.parco.2017.10.003
| Titel | Typ | Semester | Ort |
|---|---|---|---|
| Tutorial for 2400138 (Numerical Linear Algebra for Scientific High Performance Computing) | Übung (Ü) | WS 21/22 | |
| Numerical Linear Algebra for Scientific High Performance Computing | Vorlesung (V) | WS 21/22 | |
| Numerical Linear Algebra for Scientific High Performance Computing | Vorlesung (V) | SS 2022 |
Projekte
Numerical modeling of cardiac electrophysiology at the cellular scale (MICROCARD)
Herz-Kreislauf-Erkrankungen zählen zu den weltweit häufigsten Todesursachen: Jedes Jahr sterben in Deutschland über 300 000 Menschen an den Folgen. Rund die Hälfte dieser Todesfälle werden durch Herzrhythmusstörungen verursacht. Im europäischen Projekt MICROCARD, an dem das Karlsruher Institut für Technologie (KIT) beteiligt ist, entwickeln Forschende nun eine Simulationsplattform, die die elektrophysikalischen Signalübertragungen im Herzen digital abbilden kann. Die Computersimulationen sollen insbesondere zu einer verbesserten Diagnose und Therapie beitragen. Das KIT erhält für seine Beiträge im Rahmen des „European High-Performance Computing Joint Undertaking“ etwa 1,3 Millionen Euro.