Abstract
The scalable implementation of multigrid methods for machines with several thousands of processors is investigated. Parallel performance models are presented for two different structured-grid multigrid algorithms. These performance models are then used in the discussion of two implementation topics: replicating computations to reduce communications, and mixed programming models for multi-grid codes on clusters of SMPs. Special attention is paid to comparing moderate-sized parallelism and large-scale parallelism. Results are given from existing multi-grid codes to support the discussion.
This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under contract no. W-7405-Eng-48.
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Falgout, R.D., Jones, J.E. (2000). Multigrid on Massively Parallel Architectures. In: Dick, E., Riemslagh, K., Vierendeels, J. (eds) Multigrid Methods VI. Lecture Notes in Computational Science and Engineering, vol 14. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-58312-4_13
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DOI: https://doi.org/10.1007/978-3-642-58312-4_13
Publisher Name: Springer, Berlin, Heidelberg
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