GALÆXI Scaling
收藏DataCite Commons2024-12-05 更新2025-04-17 收录
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https://darus.uni-stuttgart.de/citation?persistentId=doi:10.18419/darus-4140
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<p>
<img src="https://numericsresearchgroup.org/images/icons/galexi.svg" alt="Numerics Research Group">
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<p>This Dataset contains the results of the scaling test cases of the <a href="https://doi.org/10.1016/j.cpc.2024.109388">GALÆXI Paper</a> (Section 4).</p>
<p>The scaling behavior is evaluated using simulations with resolutions ranging from 16384 up to 8.6x10<sup>9</sup> 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.</p>
提供机构:
DaRUS
创建时间:
2024-04-08



