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International Conference on Numerical Analysis and Its Applications

NAA 2000: Numerical Analysis and Its Applications pp 628–635Cite as

A Performance Study on a Single Processing Node of the HITACHI SR8000

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1988))

Abstract

We carry out a performance study on a single processing node of the HITACHI SR8000. Each processing node of the SR8000 is a shared memory parallel computer which is composed of eight scalar processors with a pseudo-vector processing facility. In this study, we implement highly optimized codes for basic linear operations including matrixmatrix product, matrix-vector product and vector inner-product. As a practical application of matrix-vector product, we examine the performance of two iterative methods for linear systems: the conjugate gradient (CG) method and the conjugate residual (CR) method.

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References

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Author information

Authors and Affiliations

  1. Department of Information and Computer Sciences, Saitama University, Shimo-Okubo 255, 338-8570, Urawa, Saitama, Japan

    Seiji Nishimura, Daisuke Takahashi, Takaomi Shigehara, Hiroshi Mizoguchi & Taketoshi Mishima

Authors
  1. Seiji Nishimura
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  2. Daisuke Takahashi
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  3. Takaomi Shigehara
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  4. Hiroshi Mizoguchi
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  5. Taketoshi Mishima
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Rousse, 7000, Rousse, Bulgaria

    Lubin Vulkov  & Plamen Yalamov  & 

  2. UNI-C,Danish Computing Center for Research and Education, DTU,Building 304, 2800, Lyngby, Denmark

    Jerzy Waśniewski

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© 2001 Springer-Verlag Berlin Heidelberg

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Nishimura, S., Takahashi, D., Shigehara, T., Mizoguchi, H., Mishima, T. (2001). A Performance Study on a Single Processing Node of the HITACHI SR8000. In: Vulkov, L., Yalamov, P., Waśniewski, J. (eds) Numerical Analysis and Its Applications. NAA 2000. Lecture Notes in Computer Science, vol 1988. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45262-1_74

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  • DOI: https://doi.org/10.1007/3-540-45262-1_74

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41814-6

  • Online ISBN: 978-3-540-45262-1

  • eBook Packages: Springer Book Archive

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