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Evaluation of the Parallel Performance of the Java and PCJ on the Intel KNL Based Systems

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Parallel Processing and Applied Mathematics (PPAM 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10778))

Abstract

In this paper, we present performance and scalability of the Java codes parallelized on the Intel KNL platform using Java and PCJ Library. The parallelization is performed using PGAS programming model with no modification to Java language nor Java Virtual Machine. The obtained results show good overall performance, especially for parallel applications. The microbenchmark results, compared to the C/MPI, show that PCJ communication efficiency should be improved.

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Acknowledgment

The authors would like to thank CHIST-ERA consortium for financial support under HPDCJ project (Polish part funded by NCN grant 2014/14/Z/ST6/00007).

The performance tests have been performed using Rescale Inc. computational facilities.

Author information

Authors and Affiliations

  1. Faculty of Mathematics and Computer Science, Nicolaus Copernicus University, Chopina 12/18, 87-100, Toruń, Poland

    Marek Nowicki & Łukasz Górski

  2. Interdisciplinary Centre for Mathematical and Computational Modelling, University of Warsaw, Pawińskiego 5a, 02-106, Warsaw, Poland

    Łukasz Górski & Piotr Bała

Authors
  1. Marek Nowicki
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  2. Łukasz Górski
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  3. Piotr Bała
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Corresponding author

Correspondence to Piotr Bała .

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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Nowicki, M., Górski, Ł., Bała, P. (2018). Evaluation of the Parallel Performance of the Java and PCJ on the Intel KNL Based Systems. In: Wyrzykowski, R., Dongarra, J., Deelman, E., Karczewski, K. (eds) Parallel Processing and Applied Mathematics. PPAM 2017. Lecture Notes in Computer Science(), vol 10778. Springer, Cham. https://doi.org/10.1007/978-3-319-78054-2_27

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  • DOI: https://doi.org/10.1007/978-3-319-78054-2_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-78053-5

  • Online ISBN: 978-3-319-78054-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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