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A Parallel Robust Multigrid Algorithm Based on Semi-coarsening

  • M. Prieto
  • R. Santiago
  • I. M. Llorente
  • F. Tirado
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1697)

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.

Keywords

Coarse Grid Domain Decomposition Multigrid Method Memory Hierarchy Convergence Factor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • M. Prieto
    • 1
  • R. Santiago
    • 1
  • I. M. Llorente
    • 1
  • F. Tirado
    • 1
  1. 1.Departamento de Arquitectura de Computadores y Automatica Facultad de Ciencias FisicasUniversidad ComplutenseMadridSpain

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