Finite state machine state assignment for area and power minimization

In this paper, we address the problem of FSM state assignment to minimize area and power. The objectives are targeted as single/independent as well as multi-objective optimization (MOP) problems. Methods for estimating area and power of an FSM are presented. A fuzzy-based aggregation function is emp...

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Bibliographic Details
Published in2006 IEEE International Symposium on Circuits and Systems (ISCAS) p. 4 pp.
Main Authors El-Maleh, A., Sait, S.M., Nawaz Khan, F.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2006
Subjects
Automata
Capacitance
Circuits
Costs
Energy consumption
Genetic algorithms
Hamming distance
Logic
Minimization
Power measurement
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Summary:In this paper, we address the problem of FSM state assignment to minimize area and power. The objectives are targeted as single/independent as well as multi-objective optimization (MOP) problems. Methods for estimating area and power of an FSM are presented. A fuzzy-based aggregation function is employed to combine the two objectives. The work employs genetic algorithm for search space exploration. Experimental results demonstrate the effectiveness of the proposed measures
ISBN:0780393899
9780780393899
ISSN:0271-4302
2158-1525
DOI:10.1109/ISCAS.2006.1693830