Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

From piz daint to the stars : simulation of stellar mergers using high-level abstractions

G. Daiß, P. Amini, J. Biddiscombe, P. Diehl, J. Frank, K. Huck, H. Kaiser, D. Marcello, D. Pfander, and D. Pflüger. SC '19: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, page 1-37. Association for Computing Machinery, (2019)
DOI: 10.1145/3295500.3356221

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Kevin Gutsche University of Stuttgart

Jan Hückelheim University of Stuttgart

Kevin Bareiß University of Stuttgart

Kevin Schlegel University of Stuttgart

Kevin Treptow University of Stuttgart

Other publications of authors with the same name

Performance Measurements Within Asynchronous Task-Based Runtime Systems : A Double White Dwarf Merger as an ApplicationP. Diehl, D. Marcello, P. Amini, H. Kaiser, S. Shiber, G. Clayton, J. Frank, G. Daiß, D. Pflüger, D. Eder and 2 other author(s). Computing in science & engineering, 23 (3): 73-81 (2021)Octo-Tiger’s New Hydro Module and Performance Using HPX+CUDA on ORNL’s SummitP. Diehl, G. Daiß, D. Marcello, K. Huck, S. Shiber, H. Kaiser, J. Frank, G. Clayton, and D. Pflüger. 2021 IEEE International Conference on Cluster Computing (CLUSTER), page 204-214. Piscataway, IEEE, (2021)Simulating Stellar Merger using HPX/Kokkos on A64FX on Supercomputer FugakuP. Diehl, G. Daiß, K. Huck, D. Marcello, S. Shiber, H. Kaiser, and D. Pflüger. 2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), page 682-691. IEEE, (2023)From piz daint to the stars : simulation of stellar mergers using high-level abstractionsG. Daiß, P. Amini, J. Biddiscombe, P. Diehl, J. Frank, K. Huck, H. Kaiser, D. Marcello, D. Pfander, and D. Pflüger. SC '19: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, page 1-37. Association for Computing Machinery, (2019)General Hybrid Parallel Profiling.A. Malony, and K. Huck. PDP, page 204-212. IEEE Computer Society, (2014)WOWMON: A Machine Learning-based Profiler for Self-adaptive Instrumentation of Scientific Workflows.X. Zhang, H. Abbasi, K. Huck, and A. Malony. ICCS, volume 80 of Procedia Computer Science, page 1507-1518. Elsevier, (2016)Open Source Task Profiling by Extending the OpenMP Runtime API.A. Qawasmeh, A. Malik, B. Chapman, K. Huck, and A. Malony. IWOMP, volume 8122 of Lecture Notes in Computer Science, page 186-199. Springer, (2013)Coupling Exascale Multiphysics Applications: Methods and Lessons Learned.J. Choi, C. Chang, J. Dominski, S. Klasky, G. Merlo, E. Suchyta, M. Ainsworth, B. Allen, F. Cappello, M. Churchill and 27 other author(s). eScience, page 442-452. IEEE Computer Society, (2018)Model-Based Relative Performance Diagnosis of Wavefront Parallel Computations.L. Li, A. Malony, and K. Huck. HPCC, volume 4208 of Lecture Notes in Computer Science, page 200-209. Springer, (2006)Parametric Studies in Eclipse with TAU and PerfExplorer.K. Huck, W. Spear, A. Malony, S. Shende, and A. Morris. Euro-Par Workshops, volume 5415 of Lecture Notes in Computer Science, page 283-294. Springer, (2008)