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• W2928843358 endingPage "1072" @default.
• W2928843358 startingPage "1059" @default.
• W2928843358 abstract "Traditionally, increasing logical masking probability has been used to improve the circuit reliability against single-event transients (SETs). As the very first work, this paper presents a new approach to increase the reliability of digital circuits against soft errors caused by multiple event transients (METs) by taking advantages of circuit partitioning and local logical restructuring techniques. In the proposed approach, the circuit is partitioned into various subcircuits and, then, several structures of each subcircuits which satisfy the area constraints are extracted by using a graph-based procedure. In order to select the suitable alternative between various subcircuit structures, we introduce a novel metric named global failure probability in the presence of METs (GFPM). This parameter provides an evaluation of each subcircuits contribution in the soft error rate (SER) of the given circuit making it possible to estimate the impacts of changing the structure of the subcircuits on the circuit SER. Hence, it prevents from repeatedly calculating the SER of the circuit that is very time-consuming leading to significant improvements in the optimization runtime. Experimental studies on ISCAS benchmark circuits show that the proposed approach, on average, achieves 18.4% SER reduction with 11.9% area overhead and 8.2% delay overhead comparing to the original circuit while the global SET-based SER mitigation approach and the global MET-based SER mitigation approach achieve 8.46% and 21.8% SER reduction, respectively. Besides, the proposed technique is about $580 times $ faster than the global MET-based method." @default.
• W2928843358 created "2019-04-11" @default.
• W2928843358 creator A5028010546 @default.
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• W2928843358 date "2020-05-01" @default.
• W2928843358 modified "2023-10-06" @default.
• W2928843358 title "Improving Combinational Circuit Reliability Against Multiple Event Transients via a Partition and Restructuring Approach" @default.
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• W2928843358 doi "https://doi.org/10.1109/tcad.2019.2907922" @default.
• W2928843358 hasPublicationYear "2020" @default.
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