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Proceedings Paper

A Highly Parallel Algorithm For Computing The Singular Value Decomposition Using Optical Processing Techniques
Author(s): Barry L. Drake; Richard P. Bocker
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Paper Abstract

Described in this paper is a highly-parallel algorithm (referred to as the Permutation Algorithm) for computing the singular value decomposition (SVD) of a matrix. This algorithm is an extension of an earlier algorithm developed by Brent and Luk. The Permutation Algorithm is unique in that it relies heavily on the repeated use of the more fundamental matrix-matrix multiply operation. Therefore, high-speed numerical optical processors currently being developed for performing the matrix-matrix multiply operation appear well suited for implementing the Permutation Algorithm as well.

Paper Details

Date Published: 28 November 1984
PDF: 12 pages
Proc. SPIE 0495, Real-Time Signal Processing VII, (28 November 1984); doi: 10.1117/12.944023
Show Author Affiliations
Barry L. Drake, U.S. Naval Ocean Systems Center (United States)
Richard P. Bocker, U.S. Naval Ocean Systems Center (United States)

Published in SPIE Proceedings Vol. 0495:
Real-Time Signal Processing VII
Keith Bromley, Editor(s)

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