Improving SEU fault tolerance capabilities of a self-converging algorithm

The SEU fault-tolerance of a benchmark self-converging algorithm is evaluated by fault injection campaigns performed using a devoted test platform. The number of observed errors significantly decreases depending on adopted implementation strategies.

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Bibliographische Detailangaben
Hauptverfasser: Velazco, R., Mansour, W., Pancher, F., Marques-Costa, G., Sohier, D., Bui, A.
Format: Tagungsbericht
Sprache:eng
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Beschreibung
Zusammenfassung:The SEU fault-tolerance of a benchmark self-converging algorithm is evaluated by fault injection campaigns performed using a devoted test platform. The number of observed errors significantly decreases depending on adopted implementation strategies.
ISSN:0379-6566
DOI:10.1109/RADECS.2011.6131299