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Co-evolutionary reliability-oriented high-level synthesis

Safari, S ; Sharif University of Technology | 2008

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  1. Type of Document: Article
  2. DOI: 10.1109/ISCAS.2008.4541845
  3. Publisher: 2008
  4. Abstract:
  5. The main contribution of this paper is utilizing bio-inspired evolutionary algorithm for reliability oriented high level synthesis. In this paper genetic algorithm is used to schedule a data-flow graph considering latency and resource allocation considering resource constraints and area overhead. Then a co-evolutionary strategy merges the results of these solutions to find the RT level design of the circuit which satisfies both performance and area constraints. To satisfy the user-defined reliability, another genetic algorithm is developed to insert some hardware redundancies to the resulted data-path. Experimental results show using the proposed approach results in an acceptable reliability with a considerable area reduction in comparison with TMR. ©2008 IEEE
  6. Keywords:
  7. Algorithms ; Boolean functions ; Cobalt ; Cobalt compounds ; Data flow analysis ; Genetic algorithms ; Graphic methods ; Networks (circuits) ; Planning ; Reliability ; Resource allocation ; Technical presentations ; Co-evolutionary ; High-level synthesis ; International symposium ; Evolutionary algorithms
  8. Source: 2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008, Seattle, WA, 18 May 2008 through 21 May 2008 ; 2008 , Pages 2026-2029 ; 02714310 (ISSN) ; 9781424416844 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4541845