New encoding/decoding methods for designing fault-tolerant matrix operations

Dali L. Tao; Y. S. Han; Carlos R.P. Hartmann

doi:10.1117/12.130918

30 November 1992 New encoding/decoding methods for designing fault-tolerant matrix operations

Dali L. Tao, Y. S. Han, Carlos R.P. Hartmann

Proceedings Volume 1770, Advanced Signal Processing Algorithms, Architectures, and Implementations III; (1992) https://doi.org/10.1117/12.130918
Event: San Diego '92, 1992, San Diego, CA, United States

Abstract

The algorithm-based fault tolerance (ABFT) provides low-cost error protection for VLSI processor arrays used in real-time digital signal processing. Several ABFT techniques (weighted check-sum) have be proposed to design fault-tolerant LU decomposition, QR decomposition, and matrix inversion. In these schemes, encoding/decoding uses either multiplication or division so that overhead is high. In this paper, we propose new encoding/decoding methods for designing fault-tolerant matrix operations. Since the new encoding/decoding methods use only additions and subtractions, the overhead of a fault-tolerant processor array can be drastically reduced.

Citation Download Citation

Dali L. Tao, Y. S. Han, and Carlos R.P. Hartmann "New encoding/decoding methods for designing fault-tolerant matrix operations", Proc. SPIE 1770, Advanced Signal Processing Algorithms, Architectures, and Implementations III, (30 November 1992); https://doi.org/10.1117/12.130918

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