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An approach to scalability of parallel matrix multiplication algorithms

  • Session 15: Parallel and Distributed Computing III
  • Conference paper
  • First Online:
Computing and Combinatorics (COCOON 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1276))

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Abstract

In this paper, we start with presenting and defining scalability of algorithm-architecture combinations based on the fixed ratio of computation time to communication cost, analyze the performance and scalability of a number of parallel matrix multiplication algorithms, and compare them with the related work. The performance analysis and the analytical scalability expressions for these algorithms show that our scalability metric is better than the isoefficiency metric.

This work is supported by Chinese National 863 Hi-Tech R&D Project

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Authors and Affiliations

  1. National Research Center for Intelligent Computing Systems Institute of Computing Technology, Chinese Academy of Sciences, 100080, Beijing, China

    Xingfu Wu

Authors
  1. Xingfu Wu
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Editor information

Tao Jiang D. T. Lee

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© 1997 Springer-Verlag Berlin Heidelberg

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Wu, X. (1997). An approach to scalability of parallel matrix multiplication algorithms. In: Jiang, T., Lee, D.T. (eds) Computing and Combinatorics. COCOON 1997. Lecture Notes in Computer Science, vol 1276. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0045116

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  • DOI: https://doi.org/10.1007/BFb0045116

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63357-0

  • Online ISBN: 978-3-540-69522-6

  • eBook Packages: Springer Book Archive

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