2018
DOI: 10.1049/iet-cdt.2016.0199
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MPGA: an evolutionary state assignment for dynamic and leakage power reduction in FSM synthesis

Abstract: As the development of deep-submicron and nano-technology, leakage power minimisation becomes as important as dynamic power reduction in IC design. In order to achieve low-power state assignment for finite-state machine (FSM) synthesis, a multi-population genetic algorithm (MPGA)-based state assignment method is proposed. MPGA consists of an outer-loop and a set of inner-GAs. In MPGA, inner-GA is a local search component for finding low-power state assignment. Selection, crossover and mutation are used to perfo… Show more

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Cited by 6 publications
(1 citation statement)
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References 30 publications
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“…This task can be solved using various methods of state assignment [25][26][27]. In these methods, the number of bits in the state codes ranges from the minimum determined by formula (3) to the maximum determined by the total number of states, M. If R = M, then this is a one-hot state assignment.…”
Section: Related Workmentioning
confidence: 99%
“…This task can be solved using various methods of state assignment [25][26][27]. In these methods, the number of bits in the state codes ranges from the minimum determined by formula (3) to the maximum determined by the total number of states, M. If R = M, then this is a one-hot state assignment.…”
Section: Related Workmentioning
confidence: 99%