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Proceedings Paper

Architectures for Computing Eigenvalues and SVDs
Author(s): Franklin T. Luk
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Paper Abstract

Systolic architectures for eigenvalues and singular values are discussed. One "triangular" processor array and associated algorithms for computing the QR-decomposition, the singular value decomposition, the generalized singular value decomposition and the CS-decomposition are described in detail.

Paper Details

Date Published: 28 July 1986
PDF: 10 pages
Proc. SPIE 0614, Highly Parallel Signal Processing and Architectures, (28 July 1986); doi: 10.1117/12.960496
Show Author Affiliations
Franklin T. Luk, Cornell University (United States)

Published in SPIE Proceedings Vol. 0614:
Highly Parallel Signal Processing and Architectures
Keith Bromley, Editor(s)

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