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A novel low power FSM partition approach and its implementation

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5 Author(s)
Y. Xia ; Sch. of Inf. Sci. & Eng., Ningbo Univ., China ; X. Ye ; L. Wang ; J. Tap
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A new finite state machine (FSM) partitioning approach is proposed in this paper. Genetic algorithm (GA) is employed to search the optimal or near optimal solution. A new cost function is used to guide the optimisation. The proposed algorithm is implemented in C. A new design model is proposed to implement partitioned sub-FSMs, which makes the existing monolithic FSM state assignment can be applied to partitioned FSMs. The experiment results show that the proposed approach can reduce power dissipation up to 78%.

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21-22 Nov. 2005