DocumentCode
538056
Title
Parallelization of SVD of a matrix-systolic approach
Author
Snopce, H. ; Spahiu, Illir
Author_Institution
South East Europian Univ., Tetovo, Macedonia
fYear
2010
fDate
18-20 Oct. 2010
Firstpage
343
Lastpage
348
Abstract
In this paper we investigate the parallelization of Hestenes-Jacobi method for computing the SVD of an MXN matrix using systolic arrays. In the case of real matrix an array of R2 processors is proposed, such that each row contains N columns. In order to extend this idea we have presented three transformations which are used for transforming the complex into the real matrix. After the additional computations, we show how the same array may be used for the SVD of a complex matrix.
Keywords
Jacobian matrices; singular value decomposition; systolic arrays; Hestenes-Jacobi method; SVD; matrix-systolic approach; singular value decomposition; systolic arrays; Arrays; Equations; Jacobian matrices; Matrix converters; Matrix decomposition; Program processors; Symmetric matrices;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology (IMCSIT), Proceedings of the 2010 International Multiconference on
Conference_Location
Wisla
ISSN
2157-5525
Print_ISBN
978-1-4244-6432-6
Type
conf
DOI
10.1109/IMCSIT.2010.5679743
Filename
5679743
Link To Document