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An Evolutionary Approach to the Soft Error Mitigation Technique for Cell-Based DesignPARK, J. K.   , KIM, J. T. |
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Author keywords
soft error mitigation, single event transient, cell-based design, cell sizing, hybrid genetic algorithm
References keywords
soft(16), error(13), systems(8), design(8), analysis(8), rate(7), designs(7), circuits(6), logic(5), level(5)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2015-02-28
Volume 15, Issue 1, Year 2015, On page(s): 33 - 40
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.01005
Web of Science Accession Number: 000352158600005
SCOPUS ID: 84924812869
Abstract
In this paper, we present a soft error mitigation algorithm that searches for the proper gate sizes within constrained gate-level designs. The individual gate sizing has an impact on the former optimization results and degrades the quality of the solution. In order to address this inefficiency, we utilize a modified topological sort that preserves the preceding local optima. Using a new local searcher, a hybrid genetic optimization technique for soft error mitigation is proposed. This evolutionary search algorithm has general genetic operators: the initialization of the population, crossover, mutation and selection operators. The local searcher consists of two subsequent heuristics. These search algorithms make the individual chromosome move to better search regions in a short time and then, the population acquires various candidates for the global optimum with the help of other genetic operators. The experiments show that the proposed genetic algorithm achieves an approximately 90% reduction in the number of soft errors when compared to the conventional greedy approach with at most 30% overhead for the area and critical path delay. |
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
