DocumentCode :
2822592
Title :
Efficient systolic array for singular value and eigenvalue decomposition
Author :
Ahmedsaid, A. ; Amira, A. ; Bouridane, A.
Author_Institution :
Sch. of Comput. Sci., The Queen´´s Univ., Belfast, UK
Volume :
2
fYear :
2003
fDate :
27-30 Dec. 2003
Firstpage :
835
Abstract :
This paper presents an efficient systolic array for the computation of the singular value decomposition (SVD) and the symmetric eigenvalue decomposition (EVD). The proposed architecture is three times more efficient and faster than the Brent, Luk, Van Loan (BLV) SVD/EVD systolic array. The architecture has been implemented efficiently on FPGA using a high level language for hardware design "Handel-C".
Keywords :
digital arithmetic; eigenvalues and eigenfunctions; field programmable gate arrays; hardware description languages; singular value decomposition; systolic arrays; FPGA; Handel-C; eigenvalue decomposition; hardware design; high level language; singular value decomposition; systolic array; Computer architecture; Eigenvalues and eigenfunctions; Field programmable gate arrays; Hardware; Image analysis; Jacobian matrices; Matrix decomposition; Principal component analysis; Singular value decomposition; Systolic arrays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2003 IEEE 46th Midwest Symposium on
ISSN :
1548-3746
Print_ISBN :
0-7803-8294-3
Type :
conf
DOI :
10.1109/MWSCAS.2003.1562416
Filename :
1562416
Link To Document :
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