The Energy Efficiency Evaluating Method Determining Energy Consumption of the Parallel Program According to Its Profile

Lobachevskii Journal of Mathematics volume 41, pages2542–2551(2020)Cite this article

Abstract

The paper is devoted to the evaluation of energy efficiency of High Performance Computing systems used in a scientific supercomputer center. The authors propose a method for the comparison of energy efficiency of computing systems based on the power consumption and execution time of parallel programs. The paper presents a software tool that allows to determine the energy consumption profile of a parallel program automatically without changing its source code. The paper also presents the results of power consumption comparison of NAS Parallel Benchmarks (BT, EP, IS, and LU) tests on computing systems with codenames Intel microprocessors Broadwell, Cascade Lake, Knights Landing and Skylake).

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Funding

The work was carried out at the JSCC RAS as part of the state assignment. Supercomputer MVS-10P OP was used.

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Affiliations

  1. Joint Supercomputer Center, Scientific Research Institute for System Analysis of the Russian Academy of Sciences, 119334, Moscow, Russia

    E. A. Kiselev, B. M. Shabanov, O. S. Aladyshev & A. V. Baranov

  2. Russian University of Transport (MIIT), 127994, Moscow, Russia

    V. I. Kiselev

Authors
  1. E. A. Kiselev
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  2. V. I. Kiselev
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  3. B. M. Shabanov
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  4. O. S. Aladyshev
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  5. A. V. Baranov
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Corresponding authors

Correspondence to E. A. Kiselev or V. I. Kiselev or B. M. Shabanov or O. S. Aladyshev or A. V. Baranov.

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(Submitted by A. M. Elizarov)

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Kiselev, E.A., Kiselev, V.I., Shabanov, B.M. et al. The Energy Efficiency Evaluating Method Determining Energy Consumption of the Parallel Program According to Its Profile. Lobachevskii J Math 41, 2542–2551 (2020). https://doi.org/10.1134/S1995080220120161

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Keywords:

  • supercomputer
  • energy efficiency
  • power consumption profile
  • parallel program
  • high performance computing system
  • HPC
  • NAS Parallel Benchmarks
  • Intel