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OpenACC 2.5 Validation Testsuite Targeting Multiple Architectures

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High Performance Computing (ISC High Performance 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10524))

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Abstract

Heterogeneous computing has emerged as a promising fit for scientific domains such as molecular dynamics simulations, bioinformatics, weather prediction. Such a computing paradigm includes x86 processors coupled with GPUs, FPGAs, DSPs or a coprocessor paradigm that takes advantage of all the cores and caches on a single die such as the Knights Landing. OpenACC, a high-level directive-based parallel programming model has emerged as a programming paradigm that can tackle the intensity of heterogeneity in architectures. Data-driven large scientific codes are increasingly using OpenACC, which makes it essential to analyze the accuracy of OpenACC compilers while they port code to various types of platforms. In response, we have been creating a validation suite to validate and verify the implementations of OpenACC features in conformance with the specification. The validation suite also provides a tool to compiler developers as a standard for the compiler to be tested against and to users and compiler developers alike in clarifying the OpenACC specification. This testsuite has been integrated into the harness infrastructure of the TITAN and Summitdev systems at Oak Ridge National Lab and is being used for production.

O. Hernandez—This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). This paper is authored by an employee(s) of the United States Government and is in the public domain. Non-exclusive copying or redistribution is allowed, provided that the article citation is given and the authors and agency are clearly identified as its source.

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Notes

  1. 1.

    https://www.openacc.org/tools.

  2. 2.

    https://github.com/OpenACCUserGroup/OpenACCV-V.

  3. 3.

    http://docs.hpc.udel.edu/clusters/farber/start#farber.

  4. 4.

    https://www.olcf.ornl.gov/titan/.

  5. 5.

    https://www.pgroup.com/products/community.htm.

  6. 6.

    https://cug.org/proceedings/cug2017_proceedings/includes/files/pap174s2-file1.pdf.

  7. 7.

    For more detailed explanation and example, see https://github.com/OpenACCUserGroup/OpenACCV-V/blob/master/README.md.

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Acknowledgments

We are very grateful to OpenACC and NVIDIA for supporting this project. Special thanks to Mathew Colgrove, Duncan Poole, Christophe Harle, Jeff Larkin, Michael Wolfe, James Beyer, Pat Brooks, Doug Holt, Wael Elwasif, Thomas Swinge, Cesar Philippidis, Randy Allen and Alex Rech.

This material is based upon work supported by the U.S. Department of Energy, Office of science, and this research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725.

Author information

Authors and Affiliations

  1. University of Delaware, Newark, DE, USA

    Kyle Friedline & Sunita Chandrasekaran

  2. Oak Ridge National Lab, Oak Ridge, TN, USA

    M. Graham Lopez & Oscar Hernandez

Authors
  1. Kyle Friedline
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  2. Sunita Chandrasekaran
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  3. M. Graham Lopez
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  4. Oscar Hernandez
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Corresponding author

Correspondence to Kyle Friedline .

Editor information

Editors and Affiliations

  1. Deutsches Klimarechenzentrum (DKRZ), Hamburg, Hamburg, Germany

    Julian M. Kunkel

  2. TITECH, Tokyo, Japan

    Rio Yokota

  3. Department of Computer Science, University of Delaware, Newark, Delaware, USA

    Michela Taufer

  4. Lawrence Berkeley National Laboratory, Berkeley, California, USA

    John Shalf

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Friedline, K., Chandrasekaran, S., Lopez, M.G., Hernandez, O. (2017). OpenACC 2.5 Validation Testsuite Targeting Multiple Architectures. In: Kunkel, J., Yokota, R., Taufer, M., Shalf, J. (eds) High Performance Computing. ISC High Performance 2017. Lecture Notes in Computer Science(), vol 10524. Springer, Cham. https://doi.org/10.1007/978-3-319-67630-2_39

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  • DOI: https://doi.org/10.1007/978-3-319-67630-2_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67629-6

  • Online ISBN: 978-3-319-67630-2

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