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Development of a High Performance Code for Hydrodynamic Calculations Using Graphics Processor Units

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Parallel Computational Technologies (PCT 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 753))

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Abstract

The paper presents the results of the implementation of computational algorithms of hydrodynamics for using graphics processor units. The implementation was carried out on the basis of the in-house CFD code SigmaFlow. Numerical simulations were based on the solution of the Navier-Stokes equations using SIMPLE-like procedure. The discretization of the differential equations was based on the control volume method on unstructured mesh. In the case of multiple CPU/GPU, parallel calculations were performed by means of domain decomposition. In the GPU-version of the code, basic computational functions were implemented as CUDA kernels to perform on GPUs. The code has been verified using several test cases. The computational efficiencies of several GPUs were compared with each other and that of modern CPUs. A modern GPU can increase the calculation performance of CFD problems by more than two times compared to a modern six-core CPU.

The work was financially supported by the Russian Foundation for Basic Research, the Government of Krasnoyarsk Territory, and the Krasnoyarsk Region Science and Technology Support Fund, research project No16-41-243033.

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Authors and Affiliations

  1. Siberian Federal University, Krasnoyarsk, Russia

    Andrey V. Sentyabov, Andrey A. Gavrilov & Alexander A. Dekterev

  2. Institute of Thermophysics SB RAS, Novosibirsk, Russia

    Andrey V. Sentyabov, Andrey A. Gavrilov & Alexander A. Dekterev

  3. Lomonosov Moscow State University, Moscow, Russia

    Maxim A. Krivov

  4. CTP PCP RAS, Moscow, Russia

    Mikhail N. Pritula

Authors
  1. Andrey V. Sentyabov
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  2. Andrey A. Gavrilov
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  3. Maxim A. Krivov
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  4. Alexander A. Dekterev
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  5. Mikhail N. Pritula
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Corresponding author

Correspondence to Andrey V. Sentyabov .

Editor information

Editors and Affiliations

  1. South Ural State University, Chelyabinsk, Russia

    Leonid Sokolinsky

  2. South Ural State University, Chelyabinsk, Russia

    Mikhail Zymbler

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Sentyabov, A.V., Gavrilov, A.A., Krivov, M.A., Dekterev, A.A., Pritula, M.N. (2017). Development of a High Performance Code for Hydrodynamic Calculations Using Graphics Processor Units. In: Sokolinsky, L., Zymbler, M. (eds) Parallel Computational Technologies. PCT 2017. Communications in Computer and Information Science, vol 753. Springer, Cham. https://doi.org/10.1007/978-3-319-67035-5_21

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  • DOI: https://doi.org/10.1007/978-3-319-67035-5_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67034-8

  • Online ISBN: 978-3-319-67035-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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