Finite State Machine State Assignment for Area and Power Minimization

(2006) Finite State Machine State Assignment for Area and Power Minimization. In: Proceedings of 2006 International Symposium in Circuits and Systems, (ISCAS 2006), Island of Kos, Greece.

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Abstract

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. Novel 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.

Item Type: Conference or Workshop Item (Other)
Subjects: Computer
Department: College of Computing and Mathematics > Computer Engineering
Depositing User: AbdulRahman
Date Deposited: 24 Feb 2008 12:45
Last Modified: 01 Nov 2019 13:22
URI: http://eprints.kfupm.edu.sa/id/eprint/76