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International Conference on High-Performance Computing and Networking

HPCN-Europe 2001: High-Performance Computing and Networking pp 454–463Cite as

Study of the Parallel Block One-Sided Jacobi Method⋆

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2110))

Abstract

In this paper, we study the parallelization of the one-sided Jacobi method for computing the eigenvalues and the eigenvectors of a real and symmetric matrix. We use a technique to overlap the communications by the computations in order to decrease the global communication time. We also extend the obtained results to the block version for using the level-3 BLAS.

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References

  1. J. Cuenca, D. Giménez, Implementation of parallel one-sided block Jacobi methods for the symmetric eigenvalue problem, ParCo’99, Delft (1999).

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Author information

Authors and Affiliations

  1. Faculty of Sciences Department of Mathematics and Computer Science, University of Mohamed First, 60 000, Oujda, Morocco

    H. Outada

Authors
  1. E. M. Daoudi
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  2. A. Lakhouaja
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  3. H. Outada
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Editor information

Editors and Affiliations

  1. Faculty of Mathematics, Computer Science, Physics,and Astronomy, University of Amsterdam, Kruislaan 403, 1098, SJ, Amsterdam, The Netherlands

    Bob Hertzberger  & Alfons Hoekstra  & 

  2. California Institute of Technology, Caltech 158-79, Pasadena, CA, 91125, USA

    Roy Williams

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© 2001 Springer-Verlag Berlin Heidelberg

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Cite this paper

Daoudi, E.M., Lakhouaja, A., Outada, H. (2001). Study of the Parallel Block One-Sided Jacobi Method⋆. In: Hertzberger, B., Hoekstra, A., Williams, R. (eds) High-Performance Computing and Networking. HPCN-Europe 2001. Lecture Notes in Computer Science, vol 2110. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48228-8_46

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  • DOI: https://doi.org/10.1007/3-540-48228-8_46

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42293-8

  • Online ISBN: 978-3-540-48228-4

  • eBook Packages: Springer Book Archive

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