research article
A direct parallel sparse matrix solver
The direct sparse matrix solver is based on a domain decomposition technique to achieve data and work parallelization. Geometries that have long and thin structures are specially efficiently tractable with this solver, provided that they can be decomposed mainly in one direction. Due to the separation of the algorithm into a factorization stage and a solution stage, time-dependent problems with a constant coefficient matrix are particularly well suited for this solver. The parallelization performances obtained on a Gray T3D show that the method scales up to at least 256 processors.
Type
research article
Author(s)
Date Issued
1996
Published in
Volume
96
Issue
2-3
Start page
118
End page
128
Editorial or Peer reviewed
REVIEWED
Written at
EPFL
Available on Infoscience
April 16, 2008
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