Paper
28 October 1994 Algorithm-based fault tolerance for noncomputationally intensive applications
V. S. Sukumar Nair, S. Venkatesan
Author Affiliations +
Abstract
Algorithm-based fault tolerance (ABFT) has been proposed as a cost-effective approach to concurrent error detection. So far, the application of ABFT has been limited to computationally intensive applications that lend easily to high-level fault modeling. In this paper we extend the application of ABFT to non-computationally intensive applications. To that end, we first develop a fault model for such systems. Based on the fault model, we develop ABFT schemes for a set of graph theoretic as well as set theoretic problems. Application of the new schemes is illustrated with examples.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
V. S. Sukumar Nair and S. Venkatesan "Algorithm-based fault tolerance for noncomputationally intensive applications", Proc. SPIE 2296, Advanced Signal Processing: Algorithms, Architectures, and Implementations V, (28 October 1994); https://doi.org/10.1117/12.190885
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Tolerancing

Systems modeling

Error control coding

Computer programming

Distributed computing

Chemical elements

Computer science

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