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    Reproducibility in Benchmarking Parallel Fast Fourier Transform based Applications

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    ICPE19reproducibility.pdf
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    Type
    Conference Paper
    Authors
    Aseeri, Samar
    Muite, Benson K.
    Takahashi, Daisuke
    KAUST Department
    Extreme Computing Research Center
    Date
    2019-04-05
    Online Publication Date
    2019-04-05
    Print Publication Date
    2019
    Permanent link to this record
    http://hdl.handle.net/10754/631967
    
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    Abstract
    An overview of concerns observed in allowing for reproducibility in parallel applications that heavily depend on the three dimensional distributed memory fast Fourier transform are summarized. Suggestions for reproducibility categories for benchmark results are given.
    Citation
    Aseeri S, Muite BK, Takahashi D (2019) Reproducibility in Benchmarking Parallel Fast Fourier Transform based Applications. Companion of the 2019 ACM/SPEC International Conference on Performance Engineering - ICPE ’19. Available: http://dx.doi.org/10.1145/3302541.3313105.
    Sponsors
    We thank all the authors of [2] and those who have given a presentation on their use of the FFT in the ongoing discussion at www.fft.report. We also thank Robert Henschel for an overview of the SPEC benchmarking process at the benchmarking in the data center workshop at HPC Asia 2019. We thank RIKEN for the use of the K computer, HLRS for the use of Kabuki and Hazelhen, and the KAUST Supercomputing Laboratory for the use of Shaheen II. B.K.M. was partially supported by HPC Europa 3 (INFRAIA-2016-1-730897). B.K.M. thanks H. Berger, A. Chepstov, J. Gracia and A. Jocksch for helpful hints and discussions.
    Publisher
    Association for Computing Machinery (ACM)
    Journal
    Companion of the 2019 ACM/SPEC International Conference on Performance Engineering - ICPE '19
    DOI
    10.1145/3302541.3313105
    Additional Links
    https://dl.acm.org/citation.cfm?doid=3302541.3313105
    ae974a485f413a2113503eed53cd6c53
    10.1145/3302541.3313105
    Scopus Count
    Collections
    Conference Papers; Extreme Computing Research Center

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