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Parallel LU-decomposition on Pentium Streaming SIMD Extensions

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High Performance Computing (ISHPC 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2858))

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Abstract.

Solving systems of linear equations is central in scientific computation. In this paper, we focus on using Intel’s Pentium Streaming SIMD Extensions (SSE) for parallel implementation of LU-decomposition algorithm. Two implementations (non-SSE and SSE) of LU-decomposition are compared. Moreover, two different variants of the algorithm for the SSE version are also compared. Our results demonstrate an average performance of 2.25 times faster than the non-SSE version. This speedup is higher than 1.74 times the speedup of Intel’s SSE implementation. The source of the speedup is highly reusing of loaded data by efficiently organizing SSE instructions.

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Author information

Authors and Affiliations

  1. Aizu-Wakamatsu City, The University of Aizu, 965-8580, Fukushima, Japan

    Akihito Takahashi, Mostafa Soliman & Stanislav Sedukhin

Authors
  1. Akihito Takahashi
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  2. Mostafa Soliman
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  3. Stanislav Sedukhin
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of California (UCI), 3019 Donald Bren Hall, 92697-3435, Irvine, CA, USA

    Alex Veidenbaum

  2. Department of Information and Computer Science, Faculty of Science, Nara women’s University, Kitauoyanishi-machi, Nara-city, 630-8506, Nara, Japan

    Kazuki Joe

  3. Keio University, Hiyoshi, Kohoku, Yokohama, 223–8522, Kanagawa, Japan

    Hideharu Amano

  4. Tokyo University of Technology, 1404-1 Katakura, Hachioji, 192-0982, Tokyo, Japan

    Hideo Aiso

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© 2003 Springer-Verlag Berlin Heidelberg

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Takahashi, A., Soliman, M., Sedukhin, S. (2003). Parallel LU-decomposition on Pentium Streaming SIMD Extensions. In: Veidenbaum, A., Joe, K., Amano, H., Aiso, H. (eds) High Performance Computing. ISHPC 2003. Lecture Notes in Computer Science, vol 2858. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39707-6_37

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  • DOI: https://doi.org/10.1007/978-3-540-39707-6_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20359-9

  • Online ISBN: 978-3-540-39707-6

  • eBook Packages: Springer Book Archive

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