Chaff: Engineering an Efficient SAT Solver

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Chaff: Engineering an Efficient SAT Solver (2001)

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by Matthew W. Moskewicz , Conor F. Madigan, Ying Zhao, Lintao Zhang, Sharad Malik

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1348 - 18 self

BibTeX

@MISC{Moskewicz01chaff:engineering,
    author = {Matthew W. Moskewicz and Conor F. Madigan and Ying Zhao and Lintao Zhang and Sharad Malik},
    title = {Chaff: Engineering an Efficient SAT Solver },
    year = {2001}
}

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Abstract

Boolean Satisfiability is probably the most studied of combinatorial optimization/search problems. Significant effort has been devoted to trying to provide practical solutions to this problem for problem instances encountered in a range of applications in Electronic Design Automation (EDA), as well as in Artificial Intelligence (AI). This study has culminated in the development of several SAT packages, both proprietary and in the public domain (e.g. GRASP, SATO) which find significant use in both research and industry. Most existing complete solvers are variants of the Davis-Putnam (DP) search algorithm. In this paper we describe the development of a new complete solver, Chaff, which achieves significant performance gains through careful engineering of all aspects of the search – especially a particularly efficient implementation of Boolean constraint propagation (BCP) and a novel low overhead decision strategy. Chaff has been able to obtain one to two orders of magnitude performance improvement on difficult SAT benchmarks in comparison with other solvers (DP or otherwise), including GRASP and SATO.

Keyphrases

efficient sat solver public domain efficient implementation significant use problem instance significant effort practical solution complete solver new complete solver difficult sat benchmark boolean satisfiability combinatorial optimization search problem several sat package significant performance gain careful engineering magnitude performance improvement boolean constraint propagation search algorithm novel low overhead decision strategy artificial intelligence electronic design automation

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