Boosting SAT Solver Performance via a New Hybrid Approach

Lei Fang, Michael S. Hsiao


Due to the widespread demands for efficient SAT solvers in Electronic Design Automation applications, methods to boost the performance of the SAT solver are highly desired.  We propose a Hybrid Solution to boost SAT solver performance in this paper, via an integration of local and DPLL-based search approaches. A local search is used to identify a subset of clauses from the original formula to be passed to a DPLL SAT solver incrementally until all the clauses have been passed. In addition, the solution obtained by the DPLL solver on the subset of clauses is fed back to the local search solver to jump over any locally optimal points. The proposed solution is highly portable to the existing SAT solvers. For satisfiable instances, up to an order of magnitude speedup was obtained via the proposed hybrid solver. For unsatisfiable instances, the speedup was smaller due to the overhead.


satisfiability, DPLL, WalkSAT, hybrid

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