Hybrid SAT Solver Considering Circuit Observability

Xiuqin Wang, Hao Wang, Guangsheng Ma
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引用次数: 2

Abstract

Boolean satisfiability is a NP-hard problem in computer theoretic science. There are two types of SAT solvers, random local solver and DPLL-based complete solver. Some people have proposed hybrid SAT solvers that combined the advantage of them both. They have successfully applied them to solve large or hard random SAT problems and circuit related problems. However, these solvers often find over-satisfying assignments when solving some circuit related problems. In this paper, circuit observability is considered in hybrid SAT solver, which helps reduce the overhead caused by over-satisfying and prune the searching space. The experimental results show that our hybrid SAT solver is more efficient than other solvers for large and hard circuits.
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考虑电路可观测性的混合SAT求解器
布尔可满足性是计算机理论科学中的一个np困难问题。SAT求解器有两种类型:随机局部求解器和基于dpl的完全求解器。有些人提出了结合两者优点的混合SAT解决方案。他们已经成功地将其应用于解决大型或硬随机SAT问题和电路相关问题。然而,在解决一些电路相关问题时,这些求解器往往会发现过于满意的任务。本文在混合SAT求解器中考虑了电路的可观测性,减少了过于满足的开销,减少了搜索空间。实验结果表明,本文提出的混合SAT求解器在求解大型硬电路时比其他求解器效率更高。
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