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SAT-based algorithms for logic minimization

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3 Author(s)
Sapra, S. ; Carnegie Mellon Univ., Pittsburgh, PA, USA ; Theobald, M. ; Clarke, E.

We introduce a new method for two-level logic minimization. Unlike previous approaches, the new method uses a SAT solver as an underlying engine. While the overall minimization strategy of the new method is based on the operators as defined in ESPRESSO-II, our SAT-based implementation is significantly different. The new minimizer SAT-ESPRESSO was found to perform 5-20 times faster than ESPRESSO-II and 3-5 times faster than BOOM on a set of large examples.

Published in:

Computer Design, 2003. Proceedings. 21st International Conference on

Date of Conference:

13-15 Oct. 2003