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Parallel iterative S-step methods for unsymmetric linear systems
GCR (Generalized Conjugate Residual) and Omin (Orthomin) are iterative methods for approximating the solution of unsymmetric linear systems. The S-step generalization of these methods has been derived and studied in past work. The S-step methods exhibit improved convergence properties. Also, their d...
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Published in: | Parallel computing 1996, Vol.22 (5), p.623-641 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | GCR (Generalized Conjugate Residual) and
Omin (Orthomin) are iterative methods for approximating the solution of unsymmetric linear systems. The S-step generalization of these methods has been derived and studied in past work. The S-step methods exhibit improved convergence properties. Also, their data locality and parallel properties are enhanced by forming blocks of
s search direction vectors. However,
s is limited (to
s ≤ 5) by numerical stability considerations. The following new contributions are described in this article. The Modified Gram-Schmidt method is used to
A
T
A-orthogonalize the
s direction vectors within each S-step block. It is empirically shown that use of values of
s, up to
s = 16, preserves the numerical stability of the new iterative methods. Finally, the new S-step Omin, implemented on the CRAY C90, attained an execution rate greater than 10
Gflops (Billion Floating Point Operations per sec). |
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ISSN: | 0167-8191 1872-7336 |
DOI: | 10.1016/0167-8191(96)00022-1 |