Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007) 2007
DOI: 10.1109/ahs.2007.52
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Evolving Redundant Structures for Reliable Circuits - Lessons Learned

Abstract: Fault Tolerance is an increasing challenge for integrated circuits due to semiconductor technology scaling. This paper looks at how artificial evolution may be tuned to the creation of novel redundancy structures which may be applied to meet this challenge. However, as these structures are unknown it is a challenge in itself to tune evolution to create them. As such, no solution has yet been found. This paper provides a discussion about the issues addressed and experiments conducted and thus provides an overvi… Show more

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Cited by 11 publications
(13 citation statements)
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“…First generate redundancy using an R trad single based fitness function. As concluded in [9], an R trad single based fitness function is better suited for generating redundancy than an R trad trans based fitness function. Phase one typically generates very bloated circuits.…”
Section: Fitness Functionmentioning
confidence: 99%
“…First generate redundancy using an R trad single based fitness function. As concluded in [9], an R trad single based fitness function is better suited for generating redundancy than an R trad trans based fitness function. Phase one typically generates very bloated circuits.…”
Section: Fitness Functionmentioning
confidence: 99%
“…In previous work [10] the problem of evolving 100% functional circuits with redundancy was investigated. Like in this paper, reliability in itself was not the main goal, but rather the creation of redundant structures.…”
Section: Previous Workmentioning
confidence: 99%
“…When using the gate reliability model, no form of [10] redundancy was achieved as the simplest solution for evolution was to minimise the number of gates used in implementing a fully functional circuit. The single fault model experiments on the other hand created larger circuits containing redundant gates.…”
Section: Previous Workmentioning
confidence: 99%
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