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Integrated Measurement for Cross-Platform OpenMP Performance Analysis

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Using and Improving OpenMP for Devices, Tasks, and More (IWOMP 2014)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8766))

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Abstract

The ability to measure the performance of OpenMP programs portably across shared memory platforms and across OpenMP compilers is a challenge due to the lack of a widely-implemented performance interface standard. While the OpenMP community is currently evaluating a tools interface specification called OMPT, at present there are different instrumentation methods possible at different levels of observation and with different system and compiler dependencies. This paper describes how support for four mechanisms for OpenMP measurement has been integrated into the TAU performance system. These include source-level instrumentation (Opari), a runtime “collector” API (called ORA) built into an OpenMP compiler (OpenUH), a wrapped OpenMP runtime library (GOMP using ORA), and an OpenMP runtime library supporting an OMPT prototype (Intel). The capabilities of these approaches are evaluated with respect to observation visibility, portability, and measurement overhead for OpenMP benchmarks from the NAS parallel benchmarks, Barcelona OpenMP Task Suite, and SPEC 2012. The integrated OpenMP measurement support is also demonstrated on a scientific application, MPAS-Ocean.

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Author information

Authors and Affiliations

  1. University of Oregon, Eugene, OR, 97403, USA

    Kevin A. Huck, Allen D. Malony & Sameer Shende

  2. Los Alamos National Laboratory, Los Alamos, NM, 87545, USA

    Doug W. Jacobsen

Authors
  1. Kevin A. Huck
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  2. Allen D. Malony
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  3. Sameer Shende
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  4. Doug W. Jacobsen
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Editor information

Editors and Affiliations

  1. Cray Inc., Cray Plaza, 380 Jackson St., Suite 210, 55101, St. Paul, MN, USA

    Luiz DeRose

  2. Lawrence Livermore National Laboratory, 94551-0808, Livermore, CA, USA

    Bronis R. de Supinski

  3. Sandia National Laboratories, Albuquerque, NM, USA

    Stephen L. Olivier

  4. University of Houston, Houston, TX, USA

    Barbara M. Chapman

  5. RWTH Aachen, Aachen, Germany

    Matthias S. Müller

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© 2014 Springer International Publishing Switzerland

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Huck, K.A., Malony, A.D., Shende, S., Jacobsen, D.W. (2014). Integrated Measurement for Cross-Platform OpenMP Performance Analysis. In: DeRose, L., de Supinski, B.R., Olivier, S.L., Chapman, B.M., Müller, M.S. (eds) Using and Improving OpenMP for Devices, Tasks, and More. IWOMP 2014. Lecture Notes in Computer Science, vol 8766. Springer, Cham. https://doi.org/10.1007/978-3-319-11454-5_11

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  • DOI: https://doi.org/10.1007/978-3-319-11454-5_11

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11453-8

  • Online ISBN: 978-3-319-11454-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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