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A Comparison of Parallel Preconditioners for the Sparse generalized Eigenvalue Problems by Rayleigh-Quotient Minimization

Title
A Comparison of Parallel Preconditioners for the Sparse generalized Eigenvalue Problems by Rayleigh-Quotient Minimization
Author
마상백
Issue Date
2005-08
Publisher
SPRINGER-VERLAG BERLIN
Citation
International Workshop on Applied Parallel Computing; PARA 2004: Applied Parallel Computing. State of the Art in Scientific Computing, Page. 333-341
Abstract
In this paper we address ourselves to the problem of finding efficient parallel preconditioner for the interior generalized eigenvalue problem Ax = λBx, where A and B are large sparse symmetric positive definite matrices. We consider incomplete LU(ILU)(0) in two variants, Multi-Color block successive over-relaxation(SOR), and Point-symmetric SOR(SSOR). Our results show that for small number of processors the Multi-Color ILU(0) gives the best performance, while for large number of processors the Multi-Color Block SOR does.
URI
https://link.springer.com/chapter/10.1007/11558958_39http://repository.hanyang.ac.kr/handle/20.500.11754/111363
ISBN
978-3-540-29067-4
DOI
10.1007/11558958_39
Appears in Collections:
COLLEGE OF COMPUTING[E] > COMPUTER SCIENCE(소프트웨어학부) > Articles
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