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Automatic Testing of OpenACC Applications

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Accelerator Programming Using Directives (WACCPD 2017)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 10732))

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Abstract

PCAST (PGI Compiler-Assisted Software Testing) is a feature being developed in the PGI compilers and runtime to help users automate testing high performance numerical programs. PCAST normally works by running a known working version of a program and saving intermediate results to a reference file, then running a test version of a program and comparing the intermediate results against the reference file. Here, we describe the special case of using PCAST on OpenACC programs running on a GPU-accelerated system. Instead of saving to and comparing against a reference file, the compiler generates code to run each compute region on both the host CPU and the GPU. The values computed on the host and GPU are then compared, using OpenACC data directives and clauses to decide what data to compare.

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Author information

Authors and Affiliations

  1. University of Utah, Salt Lake City, UT, USA

    Khalid Ahmad

  2. NVIDIA/PGI, Beaverton, OR, USA

    Michael Wolfe

Authors
  1. Khalid Ahmad
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  2. Michael Wolfe
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Corresponding author

Correspondence to Khalid Ahmad .

Editor information

Editors and Affiliations

  1. University of Delaware, Newark, Delaware, USA

    Sunita Chandrasekaran

  2. Helmholtz-Zentrum Dresden-Rossendorf e.V., Dresden, Germany

    Guido Juckeland

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Ahmad, K., Wolfe, M. (2018). Automatic Testing of OpenACC Applications. In: Chandrasekaran, S., Juckeland, G. (eds) Accelerator Programming Using Directives. WACCPD 2017. Lecture Notes in Computer Science(), vol 10732. Springer, Cham. https://doi.org/10.1007/978-3-319-74896-2_8

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  • DOI: https://doi.org/10.1007/978-3-319-74896-2_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74895-5

  • Online ISBN: 978-3-319-74896-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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