DocumentCode
42049
Title
Parallelization of Preconditioned MRTR Method With Eisenstat’s Technique by Means of Algebraic Multicolor Ordering
Author
Tsuburaya, Tomonori ; Okamoto, Yoshifumi ; Sato, Shuji
Author_Institution
Dept. of Electr. & Electron. Syst. Eng., Utsunomiya Univ., Utsunomiya, Japan
Volume
51
Issue
3
fYear
2015
fDate
Mar-15
Firstpage
1
Lastpage
5
Abstract
The performance of preconditioned Minimized Residual method based on the Three-term Recurrence formula of the conjugate gradient CG-type (MRTR) method has been demonstrated on various symmetric linear systems based on 3-D FEM. The symmetric Gauss-Seidel-preconditioned MRTR method with Eisenstat´s technique (MESGS-MRTR) has higher validity for reducing the elapsed time when a conventional PC is used. However, MESGS-MRTR cannot be parallelized, when a block preconditioner is adopted. Therefore, we propose a parallelized MESGS-MRTR method supported by algebraic multicolor ordering in the 3-D low-frequency electromagnetic problems. We present a performance comparison of the proposed method with block preconditioner using reverse Cuthill-McKee ordering.
Keywords
computational electromagnetics; conjugate gradient methods; finite element analysis; iterative methods; matrix algebra; vectors; 3-D FEM; Eisenstat technique; algebraic multicolor ordering; conjugate gradient CG-type method; electromagnetism; minimized residual method; reverse Cuthill-McKee ordering; symmetric Gauss-Seidel-preconditioned MRTR method; Color; Eddy currents; Linear systems; Magnetic resonance imaging; Matrices; Sparse matrices; Symmetric matrices; Algebraic multicolor (AMC) ordering; Eisenstat???s technique; MRTR method; block preconditioner; parallel computation;
fLanguage
English
Journal_Title
Magnetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9464
Type
jour
DOI
10.1109/TMAG.2014.2360036
Filename
7093565
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