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Global and Localized Parallel Preconditioning Techniques for Large Scale Solid Earth Simulations
Nice, France April 22-April 26
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IPDPS.2003.1213468International Parallel and Distribute ...
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Kai Wang, Sangbae Kim, Jun Zhang, Kengo Nakajima, Hiroshi Okuda, "Global and Localized Parallel Preconditioning Techniques for Large Scale Solid Earth Simulations," Parallel and Distributed Processing Symposium, International, pp. 258a, International Parallel and Distributed Processing Symposium (IPDPS'03), 2003.
 
 
BibTex
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@article{ 10.1109/IPDPS.2003.1213468,
author = {Kai Wang and Sangbae Kim and Jun Zhang and Kengo Nakajima and Hiroshi Okuda},
title = {Global and Localized Parallel Preconditioning Techniques for Large Scale Solid Earth Simulations},
journal ={Parallel and Distributed Processing Symposium, International},
volume = {0},
year = {2003},
issn = {1530-2075},
pages = {258a},
doi = {http://doi.ieeecomputersociety.org/10.1109/IPDPS.2003.1213468},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Parallel and Distributed Processing Symposium, International
TI - Global and Localized Parallel Preconditioning Techniques for Large Scale Solid Earth Simulations
SN - 1530-2075
SP
EP
A1 - Kai Wang,
A1 - Sangbae Kim,
A1 - Jun Zhang,
A1 - Kengo Nakajima,
A1 - Hiroshi Okuda,
PY - 2003
KW - null
VL - 0
JA - Parallel and Distributed Processing Symposium, International
ER -
 
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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