M. Kurz, D. Kempf, M. Blind, P. Kopper, P. Offenhäuser, A. Schwarz, S. Starr, J. Keim, and A. Beck. Dataset, (2024)Related to: Kurz, M., Kempf, D., Blind, M., Kopper, P., Offenhäuser, P., Schwarz, A., Starr, S., Keim, J., & Beck, A. (2024). GALÆXI: Solving complex compressible flows with high-order discontinuous Galerkin methods on accelerator-based systems. Computer Physics Communications, 109388. doi: 10.1016/j.cpc.2024.109388.
DOI: 10.18419/darus-4140
Abstract
This Dataset contains the results of the scaling test cases of the GALÆXI Paper (Section 4).The scaling behavior is evaluated using simulations with resolutions ranging from 16384 up to 8.6x109 degrees of freedom using up to 1024 GPUs on JUWELS booster. The provided results contain the raw data of the performance index PID for different loads investigated. The results of the different PIDs are further post-processed to present the strong scaling (speedup over number of devices) and weak scaling (parallel efficiency over number of devices). In case of the strong scaling, results are given with both enabled and disabled streams on the GPU.
Kurz, Marius/University of Stuttgart, Kempf, Daniel/University of Stuttgart, Blind, Marcel P./University of Stuttgart, Kopper, Patrick/University of Stuttgart, Offenhäuser, Philipp/Hewlett Packard Enterprise, Schwarz, Anna/University of Stuttgart, Starr, Spencer/University of Stuttgart, Keim, Jens/University of Stuttgart, Beck, Andrea/University of Stuttgart
Related to: Kurz, M., Kempf, D., Blind, M., Kopper, P., Offenhäuser, P., Schwarz, A., Starr, S., Keim, J., & Beck, A. (2024). GALÆXI: Solving complex compressible flows with high-order discontinuous Galerkin methods on accelerator-based systems. Computer Physics Communications, 109388. doi: 10.1016/j.cpc.2024.109388
%0 Generic
%1 kurz2024galxi
%A Kurz, Marius
%A Kempf, Daniel
%A Blind, Marcel P.
%A Kopper, Patrick
%A Offenhäuser, Philipp
%A Schwarz, Anna
%A Starr, Spencer
%A Keim, Jens
%A Beck, Andrea
%D 2024
%K ubs_40136 ubs_40137 ubs_20010 unibibliografie ubs_10006 ubs_30091 mult darus
%R 10.18419/darus-4140
%T GALÆXI Scaling
%X This Dataset contains the results of the scaling test cases of the GALÆXI Paper (Section 4).The scaling behavior is evaluated using simulations with resolutions ranging from 16384 up to 8.6x109 degrees of freedom using up to 1024 GPUs on JUWELS booster. The provided results contain the raw data of the performance index PID for different loads investigated. The results of the different PIDs are further post-processed to present the strong scaling (speedup over number of devices) and weak scaling (parallel efficiency over number of devices). In case of the strong scaling, results are given with both enabled and disabled streams on the GPU.
@misc{kurz2024galxi,
abstract = { This Dataset contains the results of the scaling test cases of the GALÆXI Paper (Section 4).The scaling behavior is evaluated using simulations with resolutions ranging from 16384 up to 8.6x109 degrees of freedom using up to 1024 GPUs on JUWELS booster. The provided results contain the raw data of the performance index PID for different loads investigated. The results of the different PIDs are further post-processed to present the strong scaling (speedup over number of devices) and weak scaling (parallel efficiency over number of devices). In case of the strong scaling, results are given with both enabled and disabled streams on the GPU. },
added-at = {2024-05-06T09:14:20.000+0200},
affiliation = {Kurz, Marius/University of Stuttgart, Kempf, Daniel/University of Stuttgart, Blind, Marcel P./University of Stuttgart, Kopper, Patrick/University of Stuttgart, Offenhäuser, Philipp/Hewlett Packard Enterprise, Schwarz, Anna/University of Stuttgart, Starr, Spencer/University of Stuttgart, Keim, Jens/University of Stuttgart, Beck, Andrea/University of Stuttgart},
author = {Kurz, Marius and Kempf, Daniel and Blind, Marcel P. and Kopper, Patrick and Offenhäuser, Philipp and Schwarz, Anna and Starr, Spencer and Keim, Jens and Beck, Andrea},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/28ef56d95f2c95f98b82ecc0c90133ade/unibiblio},
doi = {10.18419/darus-4140},
howpublished = {Dataset},
interhash = {ea75bc4021d14c7455b55ef4a42c5eff},
intrahash = {8ef56d95f2c95f98b82ecc0c90133ade},
keywords = {ubs_40136 ubs_40137 ubs_20010 unibibliografie ubs_10006 ubs_30091 mult darus},
note = {Related to: Kurz, M., Kempf, D., Blind, M., Kopper, P., Offenhäuser, P., Schwarz, A., Starr, S., Keim, J., & Beck, A. (2024). GALÆXI: Solving complex compressible flows with high-order discontinuous Galerkin methods on accelerator-based systems. Computer Physics Communications, 109388. doi: 10.1016/j.cpc.2024.109388},
orcid-numbers = {Kurz, Marius/0009-0005-0844-0769, Kempf, Daniel/0000-0002-1445-536X, Blind, Marcel P./0000-0002-4737-9359, Kopper, Patrick/0000-0002-7613-0739, Offenhäuser, Philipp/0009-0001-1674-7980, Schwarz, Anna/0000-0002-3181-8230, Starr, Spencer/0009-0005-3737-3374, Keim, Jens/0000-0002-2338-1497, Beck, Andrea/0000-0003-3634-7447},
timestamp = {2024-12-10T15:01:32.000+0100},
title = {GALÆXI Scaling},
year = 2024
}