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Evaluation of Tool Interface Standards for Performance Analysis of OpenACC and OpenMP Programs

In: Tools for High Performance Computing 2015

Author

Listed:
  • Robert Dietrich

    (Technische Universität Dresden, Center for Information Services and High Performance Computing)

  • Ronny Tschüter

    (Technische Universität Dresden, Center for Information Services and High Performance Computing)

  • Tim Cramer

    (RWTH Aachen University, IT Center
    RWTH Aachen University, Chair for High Performance Computing
    JARA - High-Performance Computing)

  • Guido Juckeland

    (Technische Universität Dresden, Center for Information Services and High Performance Computing)

  • Andreas Knüpfer

    (Technische Universität Dresden, Center for Information Services and High Performance Computing)

Abstract

A fundamental interest in application development for high performance computing (HPC) is a close-to-optimal execution efficiency. To systematically achieve this, it is reasonable to use performance analysis tools that provide an insight into the execution of a program. Programming models that also specify tool interfaces enable the design of robust and portable tools. This paper investigates current efforts in the specification of performance tool interfaces for the parallel programming standards OpenACC and OpenMP. Technical reports have been published about an OpenACC and an OpenMP tools interface. We integrated both interfaces in the measurement infrastructure Score-P and explored their applicability for instrumentation-based performance analysis. We also consider recent extension proposals for the portable collection of performance data on the device for OpenMP and OpenACC.

Suggested Citation

  • Robert Dietrich & Ronny Tschüter & Tim Cramer & Guido Juckeland & Andreas Knüpfer, 2016. "Evaluation of Tool Interface Standards for Performance Analysis of OpenACC and OpenMP Programs," Springer Books, in: Andreas Knüpfer & Tobias Hilbrich & Christoph Niethammer & José Gracia & Wolfgang E. Nagel & Michael (ed.), Tools for High Performance Computing 2015, chapter 0, pages 67-83, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-39589-0_6
    DOI: 10.1007/978-3-319-39589-0_6
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