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On state assignment of finite state machines using hypercube embedding approach

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2 Author(s)
Ahmad, I. ; Dept. of Electr. & Comput. Eng., Kuwait Univ., Safat, Kuwait ; Ul-Mustafa, R.

We address the problem of state assignment of finite state machines (FSMs). The approach used by us to solve the state assignment problem is based on hypercube embedding. We have designed a new technique to efficiently solve the hypercube embedding problem by integrating two different techniques; one of these is the gradient projection method while the other is a variant of the Kernighan-Lin algorithm. The gradient projection method operates in continuous space and improves an initial feasible solution iteratively by tracing a search path in gradient descent direction. The Kernighan-Lin algorithm operates in discrete space and also improves an initial feasible solution iteratively. We have integrated both techniques in such a way that output from the gradient projection method is fed to the Kernighan-Lin style algorithm. The effectiveness of the proposed technique is shown by comparing its results with another technique on a number of MCNC benchmark examples for logic synthesis and optimization

Published in:

Computer Design, 1999. (ICCD '99) International Conference on

Date of Conference:

1999