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Performance Evaluation of the Omni OpenMP Compiler

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High Performance Computing (ISHPC 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1940))

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Abstract

We developed an OpenMP compiler, called Omni. This paper describes a performance evaluation of the Omni OpenMP compiler. We take two commercial OpenMP C compilers, the KAI GuideC and the PGI C compiler, for comparison. Microbenchmarks and a program in Parkbench are used for the evaluation. The results using a SUN Enterprise 450 with four processors show the performance of Omni is comparable to a commercial OpenMP compiler, KAI GuideC. The parallelization using OpenMP directives is effective and scales well if the loop contains enough operations, according to the results.

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References

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Author information

Authors and Affiliations

  1. Real World Computing Partnership, RWCP Tsukuba Research Center, 1-6-1, Takezono, 305-0032, Tsukuba-shi, Ibaraki, Japan

    Kazuhiro Kusano, Shigehisa Satoh & Mitsuhisa Sato

Authors
  1. Kazuhiro Kusano
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  2. Shigehisa Satoh
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  3. Mitsuhisa Sato
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Editor information

Editors and Affiliations

  1. Departamento de Arquitectura de Computadores, Universidad Politecnica de Catalunya, Spain

    Mateo Valero

  2. Department of Information and Computer Sciences, Nara Women’s University, Japan

    Kazuki Joe

  3. Institute of Industrial Science Center for Conceptual Information Processing Research, University of Tokyo, Japan

    Masaru Kitsuregawa

  4. Graduate School of Engineering Electrical Engineering Department, University of Tokyo, Japan

    Hidehiko Tanaka

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© 2000 Springer-Verlag Berlin Heidelberg

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Kusano, K., Satoh, S., Sato, M. (2000). Performance Evaluation of the Omni OpenMP Compiler. In: Valero, M., Joe, K., Kitsuregawa, M., Tanaka, H. (eds) High Performance Computing. ISHPC 2000. Lecture Notes in Computer Science, vol 1940. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-39999-2_39

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  • DOI: https://doi.org/10.1007/3-540-39999-2_39

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41128-4

  • Online ISBN: 978-3-540-39999-5

  • eBook Packages: Springer Book Archive

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