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International Conference on High Performance Computing for Computational Science

VECPAR 2002: High Performance Computing for Computational Science — VECPAR 2002 pp 343–353Cite as

Preconditioning for an Iterative Elliptic Solver on a Vector Processor

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2565))

Abstract

A family of preconditioners for an iterative solver of a separable elliptic boundary value problem in spherical geometry arising in numerical weather prediction has been implemented and tested on a vector processor. The PCG-MILU(0) solver obtains practical convergence in a small number of iterations and outperforms a highly optimized direct solver at high-resolution.

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References

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Author information

Authors and Affiliations

  1. Recherche en prévision numérique, Meteorological Service of Canada, 2121 Trans-Canada Highway, H9P 1J3, Dorval, QC, Canada

    Abdessamad Qaddouri & Jean Côté

Authors
  1. Abdessamad Qaddouri
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  2. Jean Côté
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Editor information

Editors and Affiliations

  1. Faculdade de Engenharia da, Universidade do Porto, Rua Dr. Roberto Frias, 4200-465, Porto, Portugal

    José M. L. M. Palma  & A. Augusto Sousa  & 

  2. Department of Computer Science, University of Tennessee, 37996-1301, Knoxville, TN, USA

    Jack Dongarra

  3. Departamento de Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Camino de Vera, s/n, Apartado 22012, 46020, Valencia, Spain

    Vicente Hernández

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© 2003 Springer-Verlag Berlin Heidelberg

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Qaddouri, A., Côté, J. (2003). Preconditioning for an Iterative Elliptic Solver on a Vector Processor. In: Palma, J.M.L.M., Sousa, A.A., Dongarra, J., Hernández, V. (eds) High Performance Computing for Computational Science — VECPAR 2002. VECPAR 2002. Lecture Notes in Computer Science, vol 2565. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36569-9_22

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  • DOI: https://doi.org/10.1007/3-540-36569-9_22

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00852-1

  • Online ISBN: 978-3-540-36569-3

  • eBook Packages: Springer Book Archive

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