Title :
Hybrid SAT Solver Considering Circuit Observability
Author :
Wang, Xiuqin ; Wang, Hao ; Ma, Guangsheng
Author_Institution :
Comput. Sci. & Technol. Inst., Harbin Eng. Univ., Harbin
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.
Keywords :
Boolean functions; circuit complexity; computability; Boolean satisfiability; DPLL-based complete solver; NP-hard problem; circuit observability; computer theoretic science; hybrid satisfiability solver; random local solver; Application software; Approximation algorithms; Artificial intelligence; Computer science; Electronic design automation and methodology; Logic circuits; NP-hard problem; Observability; Space technology; Stochastic processes; Boolean satisfiability; circuit observability; complete algorithm; hybrid method; over-satisfying assignment;
Conference_Titel :
Young Computer Scientists, 2008. ICYCS 2008. The 9th International Conference for
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3398-8
Electronic_ISBN :
978-0-7695-3398-8
DOI :
10.1109/ICYCS.2008.84