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Performance Analysis of GPU-Based Code for Complex Plasma Simulation

P. 276–289.
Kolotinskii D., Alexei Timofeev

According to the TOP-500 supercomputer ranking [27], since 2017, the share of supercomputers which have NVIDIA V100 and A100 graphics accelerators has been continuously growing, reaching 80% by November 2021 from the total number of supercomputers with accelerators and co-processors. This paper presents the results of an assessment of energy and economic efficiency, as well as the performance study of using V100 and A100 graphics accelerators in the framework of complex plasma physics. In addition, the use of several accelerators for one calculation is considered. In order to quantify the effectiveness of the considered devices, we use the following metrics: calculation time, resource efficiency, economical efficiency, power efficiency.

Language: English
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Keywords: GPUHigh-Performance Computing (HPC)complex plasmaparallel computing on GPU

In book

Supercomputing: 8th Russian Supercomputing Days, RuSCDays 2022, Moscow, Russia, September 26–27, 2022, Revised Selected Papers
Vol. 13708. , Springer, 2022.
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