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Providing Observability for OpenMP 3.0 Applications

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Evolving OpenMP in an Age of Extreme Parallelism (IWOMP 2009)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 5568))

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Abstract

Providing observability for OpenMP applications is a technically challenging task. Most current tools treat OpenMP applications as native multi-threaded applications. They expose too much implementation detail while failing to present useful information at the OpenMP abstraction level. In this paper, we present a rich data model that captures the runtime behavior of OpenMP applications. By carefully designing interactions between all involved components (compiler, OpenMP runtime, collector, and analyzer), we are able to collect all needed information and keep overall runtime overhead and data volume low.

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References

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Author information

Authors and Affiliations

  1. Nvidia Corp., Santa Clara, CA 95050, USA

    Yuan Lin

  2. Sun Microsystems Inc., Menlo Park, CA 94025, USA

    Oleg Mazurov

Authors
  1. Yuan Lin
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  2. Oleg Mazurov
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Editor information

Editors and Affiliations

  1. Center for Information Services and High Performance Computing (ZIH), Dresden University of Technology, 01062, Dresden, Germany

    Matthias S. Müller

  2. Lawrence Livermore National Laboratory, Center for Applied Scientific Computing, CA 94551-0808, Livermore, USA

    Bronis R. de Supinski

  3. Dept. of Computer Science, University of Houston, 501 Philip G. Hoffman Hall, 4800 Calhoun Rd, 77204-3475, Houston, TX, USA

    Barbara M. Chapman

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© 2009 Springer-Verlag Berlin Heidelberg

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Lin, Y., Mazurov, O. (2009). Providing Observability for OpenMP 3.0 Applications. In: Müller, M.S., de Supinski, B.R., Chapman, B.M. (eds) Evolving OpenMP in an Age of Extreme Parallelism. IWOMP 2009. Lecture Notes in Computer Science, vol 5568. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02303-3_9

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  • DOI: https://doi.org/10.1007/978-3-642-02303-3_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02284-5

  • Online ISBN: 978-3-642-02303-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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