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Resilient data encoding for fault-prone signal transmission in parallelized signed-digit based arithmetic

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2 Author(s)
David Neuhäuser ; Institute of Computer Science, Friedrich Schiller University, D-07737 Jena, Germany ; Eberhard Zehendner

When arithmetic components are parallelized, fault-prone interconnections can tamper results significantly. Constantly progressing technology scaling leads to a steady increase of errors caused by faulty transmission. Resilient data encoding schemes can be used to offset these negative effects. Focusing on parallel signed-digit based arithmetic frequently used in highspeed systems, we propose suitable data encodings that reduce error rates by 25%. Data encoding should be driven by the occurrence probabilities of digits. We develop a methodology to obtain these probabilities, show an example fault-tolerant encoding, and discuss its impact on communicating parallel arithmetic circuits in an example error scenario.

Published in:

ARCS Workshops (ARCS), 2012

Date of Conference:

28-29 Feb. 2012