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International Parallel and Distributed Processing Symposium (IPDPS'03)
Global and Localized Parallel Preconditioning Techniques for Large Scale Solid Earth Simulations
Nice, France
April 22-April 26
ISBN: 0-7695-1926-1
Kai Wang, University of Kentucky
Sangbae Kim, University of Kentucky
Jun Zhang, University of Kentucky
Kengo Nakajima, Research Organization for Information Science & Technology
Hiroshi Okuda, Research Organization for Information Science & Technology
We study and compare a few parallel preconditioning techniques in the iterative solution of large sparse linear systems arising from solid Earth simulation with and without using contact information in the domain partitioning process. Previous studies are focused on using static or matrix pattern based incomplete LU (ILU) preconditioners in a localized preconditioner implementation. Our current studies are concerned about preconditioner performance for solving two different cases with and without known contact information. Numerical results from simulating ground motion on a parallel supercomputer are given to compare the effectiveness of these parallel preconditioning techniques.
Citation:
Kai Wang, Sangbae Kim, Jun Zhang, Kengo Nakajima, Hiroshi Okuda, "Global and Localized Parallel Preconditioning Techniques for Large Scale Solid Earth Simulations," ipdps, pp.258a, International Parallel and Distributed Processing Symposium (IPDPS'03), 2003
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