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Proceedings Paper

A Novel Fault Tolerance Technique For Recursive Least Squares Minimization
Author(s): Cynthia J. Anfinson; Franklin T. Luk; Eric K. Torng
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Paper Abstract

Existing fault tolerance schemes have often been ignored by systolic array designers because they are too costly and unwieldy to implement. With this in mind, we have developed a new technique specially tailored for recursive least squares minimization that emphasizes simplicity. We propose a new decoding scheme that allows for error detection while wasting no precious processor cycles and preserving the basic structure of the systolic array. We will show that errors can be detected by examining a single scalar. The technique can be implemented with negligible algorithmic modification and little additional hardware. The simplicity of our method invites its use in future systolic arrays.

Paper Details

Date Published: 23 February 1988
PDF: 9 pages
Proc. SPIE 0975, Advanced Algorithms and Architectures for Signal Processing III, (23 February 1988); doi: 10.1117/12.948510
Show Author Affiliations
Cynthia J. Anfinson, Cornell University (United States)
Franklin T. Luk, Cornell University (United States)
Eric K. Torng, Princeton University (United States)

Published in SPIE Proceedings Vol. 0975:
Advanced Algorithms and Architectures for Signal Processing III
Franklin T. Luk, Editor(s)

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