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Proceedings Paper

Systolic Arrays For Eigenvalue Computation
Author(s): Robert Schreiber
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Paper Abstract

A machine architecture for computing the eigenvalues and eigenvectors of an Hermitian matrix is presented. Two systolic arrays are used, one for reducing full matrices to band matrices, the second for performing QR iteration on band matrices. A one-parameter family of systems, parameterized by the bandwidth of the reduced matrix, is available. This allows a tradeoff of processors for execution time.

Paper Details

Date Published: 28 December 1982
PDF: 8 pages
Proc. SPIE 0341, Real-Time Signal Processing V, (28 December 1982); doi: 10.1117/12.933693
Show Author Affiliations
Robert Schreiber, Stanford University (United States)

Published in SPIE Proceedings Vol. 0341:
Real-Time Signal Processing V
Joel Trimble, Editor(s)

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