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Performance Analysis of GPU-Based Code for Complex Plasma Simulation

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Supercomputing (RuSCDays 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13708))

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Abstract

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.

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Acknowledgments

The study was carried out with a grant from the Russian Science Foundation (project no. 20-71-10127). This research was supported in part through computational resources of HPC facilities at HSE University and at JIHT RAS. The calculations were also performed on the hybrid supercomputer K60 (K100) installed in the Supercomputer Centre of Collective Usage of KIAM RAS.

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Authors and Affiliations

  1. Moscow Institute of Physics and Technology, Dolgoprudnyi, Moscow, 141701, Russia

    Daniil Kolotinskii & Alexei Timofeev

  2. Joint Institute for High Temperatures, Russian Academy of Sciences, Moscow, 125412, Russia

    Daniil Kolotinskii & Alexei Timofeev

  3. HSE University, Moscow, 101000, Russia

    Alexei Timofeev

Authors
  1. Daniil Kolotinskii
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  2. Alexei Timofeev
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Correspondence to Daniil Kolotinskii .

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Editors and Affiliations

  1. Research Computing Center (RCC), Moscow State University, Moscow, Russia

    Vladimir Voevodin

  2. Research Computing Center (RCC), Moscow State University, Moscow, Russia

    Sergey Sobolev

  3. Keldysh Institute of Applied Mathematics, Moscow, Russia

    Mikhail Yakobovskiy

  4. Russian Federal Nuclear Center, Sarov, Russia

    Rashit Shagaliev

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Kolotinskii, D., Timofeev, A. (2022). Performance Analysis of GPU-Based Code for Complex Plasma Simulation. In: Voevodin, V., Sobolev, S., Yakobovskiy, M., Shagaliev, R. (eds) Supercomputing. RuSCDays 2022. Lecture Notes in Computer Science, vol 13708. Springer, Cham. https://doi.org/10.1007/978-3-031-22941-1_20

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  • DOI: https://doi.org/10.1007/978-3-031-22941-1_20

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  • Print ISBN: 978-3-031-22940-4

  • Online ISBN: 978-3-031-22941-1

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