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Proceedings Paper

Design Methodology For Systolic Arrays
Author(s): Jean-Marc Delosme; Ilse C. F. Ipsen
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Paper Abstract

Many important algorithms in signal and image processing, speech and pattern recognition or matrix computations consist of coupled systems of recurrence equations. Systolic arrays are regular networks of tightly coupled simple processors with limited storage that provide cost-effective high-throughput implementations of many such algorithms. While there are some mathematical techniques for finding efficient systolic implementations for uniform recurrence equations, there is no general theory for more general coupled systems of affine recurrence equations. The first elements of such a theory are presented in this paper.

Paper Details

Date Published: 4 April 1986
PDF: 15 pages
Proc. SPIE 0696, Advanced Algorithms and Architectures for Signal Processing I, (4 April 1986); doi: 10.1117/12.936899
Show Author Affiliations
Jean-Marc Delosme, Yale University (United States)
Ilse C. F. Ipsen, Yale University (United States)


Published in SPIE Proceedings Vol. 0696:
Advanced Algorithms and Architectures for Signal Processing I
Jeffrey M. Speiser, Editor(s)

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