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A Parallel Robust Multigrid Algorithm Based on Semi-coarsening

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Recent Advances in Parallel Virtual Machine and Message Passing Interface (EuroPVM/MPI 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1697))

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Abstract

This paper compares two common approaches to achieve robustness in the parallel multigrid resolution of anisotropic operators on structured grids: alternating plane smoothers with full coarsening and plane smoothers combined with semicoarsening. Both, numerical and architectural properties are compared. A parallel implementation based on MPI is studied in a realistic way by considering the exploitation of the cache memory and the negative effect that the parallelization has on the convergence properties of the methods.

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References

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Author information

Authors and Affiliations

  1. Departamento de Arquitectura de Computadores y Automatica Facultad de Ciencias Fisicas, Universidad Complutense, 28040, Madrid, Spain

    M. Prieto, R. Santiago, I. M. Llorente & F. Tirado

Authors
  1. M. Prieto
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  2. R. Santiago
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  3. I. M. Llorente
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  4. F. Tirado
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Editor information

Editors and Affiliations

  1. OakRidge National Laboratory, University of Tennessee, 107, Ayres Hall, Knoxville, TN, 37996-1301, USA

    Jack Dongarra

  2. Computer Science Department Computer Architecture and Operating Systems Group, Universitat Autònoma of Barcelona, E-08193, Bellaterra, Barcelona, Spain

    Emilio Luque  & Tomàs Margalef  & 

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© 1999 Springer-Verlag Berlin Heidelberg

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Prieto, M., Santiago, R., Llorente, I.M., Tirado, F. (1999). A Parallel Robust Multigrid Algorithm Based on Semi-coarsening. In: Dongarra, J., Luque, E., Margalef, T. (eds) Recent Advances in Parallel Virtual Machine and Message Passing Interface. EuroPVM/MPI 1999. Lecture Notes in Computer Science, vol 1697. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48158-3_38

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  • DOI: https://doi.org/10.1007/3-540-48158-3_38

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66549-6

  • Online ISBN: 978-3-540-48158-4

  • eBook Packages: Springer Book Archive

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