Detailed Information
Cited 0 time in 
Cited 0 time in 
Cited 0 time in
Metadata Downloads
An Assessment of the Parallel Preconditioners for the Large Symmetric Generalized Eigenvalue Problems by CG-type Methods
- Authors
- Ma, Sangback; Jang, Ho-Jong
- Issue Date
- May-2009
- Publisher
- International Information Institute
- Keywords
- Generalized Eigenvalue Problem; Preconditioned Conjugate Gradient; Parallel Computation
- Citation
- Information, v.12, no.3, pp 485 - 496
- Pages
- 12
- Indexed
- SCIE
SCOPUS
- Journal Title
- Information
- Volume
- 12
- Number
- 3
- Start Page
- 485
- End Page
- 496
- ISSN
- 1343-4500
- Abstract
- Preconditioned Krylov subspace methods have proved to be efficient, for computing the interior spectrum of large symmetric generalized eigenvalue problem. As in the case of linear systems the success of these methods in many cases is due to the existence of good preconditioning techniques. In this paper we consider parallel version of ILU-type, SSOR-type, and multilevel preconditioners. Parallel implementation of our work have been made on IBM p595 Machine, and our results show that in general the Multi-Color ILU(0) gives the best performance, while for some cases with a high number of processors Multi-Color Block SSOR(MC-BSSOR) gives the best performance.
- Files in This Item
- Go to Link
- Appears in
Collections - COLLEGE OF COMPUTING > SCHOOL OF COMPUTER SCIENCE > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.