DocumentCode
2555696
Title
Finite state machine state assignment for area and power minimization
Author
El-Maleh, Aiman ; Sait, Sadiq M. ; Khan, Faisal Nawaz
Author_Institution
Dept. of Comput. Eng., King Fahd Univ. of Pet. & Minerals, Dahran
fYear
2006
fDate
21-24 May 2006
Abstract
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
Keywords
finite state machines; fuzzy logic; genetic algorithms; logic design; minimisation; aggregation function; area minimization; finite state machine; genetic algorithm; multiobjective optimization; power minimization; search space exploration; state assignment; Automata; Capacitance; Circuits; Costs; Energy consumption; Genetic algorithms; Hamming distance; Logic; Minimization; Power measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on
Conference_Location
Island of Kos
Print_ISBN
0-7803-9389-9
Type
conf
DOI
10.1109/ISCAS.2006.1693830
Filename
1693830
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