DocumentCode
1176037
Title
Efficient Multicore Sparse Matrix-Vector Multiplication for FE Electromagnetics
Author
Fernández, David M. ; Giannacopoulos, Dennis ; Gross, Warren J.
Author_Institution
Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC
Volume
45
Issue
3
fYear
2009
fDate
3/1/2009 12:00:00 AM
Firstpage
1392
Lastpage
1395
Abstract
Multicore systems are rapidly becoming a dominant industry trend for accelerating electromagnetics computations, driving researchers to address parallel programming paradigms early in application development. We present a new sparse representation and a two level partitioning scheme for efficient sparse matrix-vector multiplication on multicore systems, and show results for a set of finite element matrices that demonstrate its potential.
Keywords
computational electromagnetics; finite element analysis; parallel programming; sparse matrices; vectors; FE electromagnetics; electromagnetics computations; multicore sparse matrix vector multiplication; parallel programming; Finite element (FE); multicore; parallel computation; sparse matrices; sparse matrix-vector multiplication (SMVM);
fLanguage
English
Journal_Title
Magnetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9464
Type
jour
DOI
10.1109/TMAG.2009.2012640
Filename
4787315
Link To Document