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A Comparison of Performance Tuning Process for Different Generations of NVIDIA GPUs and an Example Scientific Computing Algorithm

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Parallel Processing and Applied Mathematics (PPAM 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10777))

Abstract

We consider the performance of a selected computational kernel from a scientific code on different generations of NVIDIA GPUs. The code that we use for tests is an OpenCL implementation of finite element numerical integration algorithm. In the current contribution we describe the performance tuning for the code, done by searching a parameter space associated with the code. The results of tuning for different generations of NVIDIA GPUs serve as a basis for analyses and conclusions.

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Author information

Authors and Affiliations

  1. AGH University of Science and Technology, Mickiewicza 30, 30-059, Kraków, Poland

    Krzysztof Banaś, Jan Bielański & Kazimierz Chłoń

  2. Cracow University of Technology, Warszawska 24, 31-155, Kraków, Poland

    Filip Krużel

Authors
  1. Krzysztof Banaś
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  2. Filip Krużel
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  3. Jan Bielański
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  4. Kazimierz Chłoń
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Corresponding author

Correspondence to Krzysztof Banaś .

Editor information

Editors and Affiliations

  1. Czestochowa University of Technology, Czestochowa, Poland

    Roman Wyrzykowski

  2. University of Tennessee, Knoxville, Tennessee, USA

    Jack Dongarra

  3. University of Southern California, Marina Del Rey, California, USA

    Ewa Deelman

  4. Czestochowa University of Technology, Czestochowa, Poland

    Konrad Karczewski

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Banaś, K., Krużel, F., Bielański, J., Chłoń, K. (2018). A Comparison of Performance Tuning Process for Different Generations of NVIDIA GPUs and an Example Scientific Computing Algorithm. In: Wyrzykowski, R., Dongarra, J., Deelman, E., Karczewski, K. (eds) Parallel Processing and Applied Mathematics. PPAM 2017. Lecture Notes in Computer Science(), vol 10777. Springer, Cham. https://doi.org/10.1007/978-3-319-78024-5_21

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  • DOI: https://doi.org/10.1007/978-3-319-78024-5_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-78023-8

  • Online ISBN: 978-3-319-78024-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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