Strong Scaling of OpenACC enabled Nek5000 on several GPU based HPC systems

Jonathan Vincent, Jing Gong, Martin Karp, Adam Peplinski, Niclas Jansson, Artur Podobas, Andreas Jocksch, Jie Yao, Fazle Hussain, Stefano Markidis, Matts Karlsson, Dirk Pleiter, Erwin Laure, Philipp Schlatter

科研成果: 书/报告/会议事项章节会议稿件同行评审

4 引用 (Scopus)

摘要

We present new results on the strong parallel scaling for the OpenACC-accelerated implementation of the high-order spectral element fluid dynamics solver Nek5000. The test case considered consists of a direct numerical simulation of fully-developed turbulent flow in a straight pipe, at two different Reynolds numbers Reτ = 360 and Reτ = 550, based on friction velocity and pipe radius. The strong scaling is tested on several GPU-enabled HPC systems, including the Swiss Piz Daint system, TACC's Longhorn, Jülich's JUWELS Booster, and Berzelius in Sweden. The performance results show that speed-up between 3-5 can be achieved using the GPU accelerated version compared with the CPU version on these different systems. The run-time for 20 timesteps reduces from 43.5 to 13.2 seconds with increasing the number of GPUs from 64 to 512 for Reτ = 550 case on JUWELS Booster system. This illustrates the GPU accelerated version the potential for high throughput. At the same time, the strong scaling limit is significantly larger for GPUs, at about 2000 - 5000 elements per rank; compared to about 50 - 100 for a CPU-rank.

源语言英语
主期刊名Proceedings of International Conference on High Performance Computing in Asia-Pacific Region, HPC Asia 2022
出版商Association for Computing Machinery
94-102
页数9
ISBN(电子版)9781450384988
DOI
出版状态已出版 - 7 1月 2022
已对外发布
活动5th International Conference on High Performance Computing in Asia-Pacific Region, HPC Asia 2022 - Virtual, Online, 日本
期限: 12 1月 202214 1月 2022

出版系列

姓名ACM International Conference Proceeding Series

会议

会议5th International Conference on High Performance Computing in Asia-Pacific Region, HPC Asia 2022
国家/地区日本
Virtual, Online
时期12/01/2214/01/22

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