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ICTAI
1997
IEEE

Exploiting Symbolic Techniques within Genetic Algorithms for Power Optimization

11 years 9 months ago
Exploiting Symbolic Techniques within Genetic Algorithms for Power Optimization
This paper proposes an optimization algorithm for reducing the power dissipation in a sequential circuit. The encoding of the different states in a Finite State Machine is modified to obtain a functionally equivalent circuit that exhibits a reduced power dissipation. The algorithm is based on a newly proposed power estimation function, that is able to quickly give an accurate estimate of the dissipated power without actually synthesizing the circuit. Given this estimate, a Genetic Algorithm provides a state re-encoding for the circuit. The estimation function is computed in a very efficient way by exploiting some symbolic computations with Binary Decision Diagrams. The algorithm is experimentally shown to provide good results from the power optimization point of view, at a limited cost in terms of area increase, when compared with similar approaches.
S. Chuisano, Fulvio Corno, Paolo Prinetto, Maurizi
Added 26 Aug 2010
Updated 26 Aug 2010
Type Conference
Year 1997
Where ICTAI
Authors S. Chuisano, Fulvio Corno, Paolo Prinetto, Maurizio Rebaudengo, Matteo Sonza Reorda
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