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Linear algebra subprograms on shared memory computers

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High-Performance Computing and Networking (HPCN-Europe 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1225))

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Abstract

This paper introduces new linear algebra routines for LU, Cholesky and QR factorizations and for the solution of dense symmetric eigenproblems aimed at shared memory, cache-based, systems. Results obtained on a range of platforms have shown that the new routines are much more efficient and scalable than the corresponding LAPACK routines.

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References

  1. E. Anderson, Z. Bai, C. Bischof, J. Demmel, J. Dongarra, J. Du Croz, A. Greenbaum, S. Hammarling, A. McKenney, S. Ostrouchov, and D. Sorensen: LAPACK Users' Guide, Release 2.0. SIAM, Philadelphia, 1995.

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  3. S.Salvini, J.Waśniewski: Experiences in Developing Numerical Subprograms on a Parallel, Shared Memory Computer. NAG Technical Report TR5/96, Oxford, 1996. Also in UNI•C Technical Report UNIC-96-04, Copenhagen, 1996.

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  5. S.Salvini, J.Waśniewski: Linear Algebra Subprograms on Shared Memory Computers: Beyond LAPACK. PARA'96 Workshop, 1996.

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Authors and Affiliations

  1. The Numerical Algorithms Group Ltd, Wilkinson House, Jordan Hill Road, OX2 8DR, Oxford, UK

    Stefano Salvini

Authors
  1. Stefano Salvini
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Bob Hertzberger Peter Sloot

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© 1997 Springer-Verlag Berlin Heidelberg

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Salvini, S. (1997). Linear algebra subprograms on shared memory computers. In: Hertzberger, B., Sloot, P. (eds) High-Performance Computing and Networking. HPCN-Europe 1997. Lecture Notes in Computer Science, vol 1225. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0031615

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  • DOI: https://doi.org/10.1007/BFb0031615

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-62898-9

  • Online ISBN: 978-3-540-69041-2

  • eBook Packages: Springer Book Archive

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