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On the Usefulness of Detecting Soft Errors in Parallel Pipelines for High-Speed Machine Vision Based on Organic Computing

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dc.contributor.authorKomann, Marcus
dc.contributor.authorTaubert, Frank
dc.contributor.authorFey, Dietmar
dc.date.accessioned2017-12-06T08:58:49Z
dc.date.available2017-12-06T08:58:49Z
dc.date.issued2010
dc.description.abstractMarcus Komann, Frank Taubert, and Dietmar Fey Friedrich-Schiller-University Jena, Germany marcus.komann@cs.uni-jena.de, fey@uni-jena.deen
dc.identifier.doi10.1007/BF03345444
dc.identifier.pissn0724-5319
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/8534
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofFERS-Mitteilungen: Vol. 28, No. 1
dc.relation.ispartofseriesFERS-Mitteilungen
dc.subjectCellular Automaton
dc.subjectPipeline Stage
dc.subjectFault Injection
dc.subjectSoft Error
dc.subjectPipeline Architecture
dc.titleOn the Usefulness of Detecting Soft Errors in Parallel Pipelines for High-Speed Machine Vision Based on Organic Computingen
dc.typeText/Journal Article
gi.citation.endPage52
gi.citation.startPage47

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FERS-Mitteilungen 28(1) - 2010