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Scalable parallel sparse factorization with left-right looking strategy on shared memory multiprocessors

  • Track C2: Computational Science
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High-Performance Computing and Networking (HPCN-Europe 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1593))

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Abstract

An efficient sparse LU factorization algorithm on popular shared memory multiprocessors is presented. Interprocess communication is critically important on these architectures—the algorithm introduces O(n) synchronization events only. No global barrier is used and a completely asynchronous scheduling scheme is one central point of the implementation. The algorithm aims at optimizing the single node performance and minimizing the communication overhead. It has been successfully tested on SUN Enterprise, DEC AlphaServer, SGI Origin 2000, Cray T90, J90, and NEC SX-4 parallel computers, delivering up to 2.3 GFlop/s on an eight processor DEC AlphaServer for medium-size semiconductor device simulations and structural engineering problems.

The work of O. Schenk was supported by a grant from the Cray Research and Development Grant Program and the Swiss Commission of Technology and Innovation under contract number 3975.1.

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Author information

Authors and Affiliations

  1. Integrated Systems Laboratory Swiss Federal Institute of Technology Zurich, ETH Zurich, 8092, Zurich, Switzerland

    Wolfgang Fichtner

  2. Weierstrass Institute for Applied Analysis and Stochastics, Mohrenstr. 39, 10117, Berlin, Germany

    Klaus Gärtner

Authors
  1. Olaf Schenk
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  2. Klaus Gärtner
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  3. Wolfgang Fichtner
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Editor information

Peter Sloot Marian Bubak Alfons Hoekstra Bob Hertzberger

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© 1999 Springer-Verlag

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Schenk, O., Gärtner, K., Fichtner, W. (1999). Scalable parallel sparse factorization with left-right looking strategy on shared memory multiprocessors. In: Sloot, P., Bubak, M., Hoekstra, A., Hertzberger, B. (eds) High-Performance Computing and Networking. HPCN-Europe 1999. Lecture Notes in Computer Science, vol 1593. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0100583

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  • DOI: https://doi.org/10.1007/BFb0100583

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65821-4

  • Online ISBN: 978-3-540-48933-7

  • eBook Packages: Springer Book Archive

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