Evaluation of Intel Max GPUs for CGYRO-based fusion simulations

Fuente: arXiv
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Hauptverfasser: Sfiligoi, Igor, Candy, Jeff, Belli, Emily A.
Format: Preprint
Veröffentlicht: 2024
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author Sfiligoi, Igor
Candy, Jeff
Belli, Emily A.
author_facet Sfiligoi, Igor
Candy, Jeff
Belli, Emily A.
contents Intel Max GPUs are a new option available to CGYRO fusion simulation users. This paper outlines the changes that were needed to successfully run CGYRO on Intel Max 1550 GPUs on TACC's Stampede3 HPC system and presents benchmark results obtained there. Benchmark results were also run on Stampede3 Intel Max CPUs, as well as NVIDIA A100 and AMD MI250X GPUs at other major HPC systems. The Intel Max GPUs are shown to perform comparably to the other tested GPUs for smaller simulations but are noticeably slower for larger ones. Moreover, Intel Max GPUs are significantly faster than the tested Intel Max CPUs on Stampede3.
format Preprint
id arxiv_https___arxiv_org_abs_2410_05510
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Evaluation of Intel Max GPUs for CGYRO-based fusion simulations
Sfiligoi, Igor
Candy, Jeff
Belli, Emily A.
Distributed, Parallel, and Cluster Computing
Plasma Physics
Intel Max GPUs are a new option available to CGYRO fusion simulation users. This paper outlines the changes that were needed to successfully run CGYRO on Intel Max 1550 GPUs on TACC's Stampede3 HPC system and presents benchmark results obtained there. Benchmark results were also run on Stampede3 Intel Max CPUs, as well as NVIDIA A100 and AMD MI250X GPUs at other major HPC systems. The Intel Max GPUs are shown to perform comparably to the other tested GPUs for smaller simulations but are noticeably slower for larger ones. Moreover, Intel Max GPUs are significantly faster than the tested Intel Max CPUs on Stampede3.
title Evaluation of Intel Max GPUs for CGYRO-based fusion simulations
topic Distributed, Parallel, and Cluster Computing
Plasma Physics
url https://arxiv.org/abs/2410.05510