Canonical computational model for algorithm-based fault tolerance (ABFT) systems

Ragini Narasimhan; Daniel J. Rosenkrantz; S. S. Ravi

doi:10.1117/12.190887

28 October 1994 Canonical computational model for algorithm-based fault tolerance (ABFT) systems

Ragini Narasimhan, Daniel J. Rosenkrantz, S. S. Ravi

Proceedings Volume 2296, Advanced Signal Processing: Algorithms, Architectures, and Implementations V; (1994) https://doi.org/10.1117/12.190887
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

Abstract

Fault tolerance measures (such as fault detectability and fault locatability) of systems employing Algorithm-Based Fault Tolerance (ABFT) are determined by a binary relationship between fault patterns and error patterns. This relationship specifies whether a given fault pattern can induce a given error pattern. We develop a succinct and canonical representation of this relationship and present an efficient algorithm for obtaining this representation. We show that two ABFT systems have the same fault tolerance measures only when their canonical representation are identical.

Citation Download Citation

Ragini Narasimhan, Daniel J. Rosenkrantz, and S. S. Ravi "Canonical computational model for algorithm-based fault tolerance (ABFT) systems", Proc. SPIE 2296, Advanced Signal Processing: Algorithms, Architectures, and Implementations V, (28 October 1994); https://doi.org/10.1117/12.190887

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