• DocumentCode
    1837308
  • Title

    Hybrid SAT Solver Considering Circuit Observability

  • Author

    Wang, Xiuqin ; Wang, Hao ; Ma, Guangsheng

  • Author_Institution
    Comput. Sci. & Technol. Inst., Harbin Eng. Univ., Harbin
  • fYear
    2008
  • fDate
    18-21 Nov. 2008
  • Firstpage
    65
  • Lastpage
    70
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • DOI
    10.1109/ICYCS.2008.84
  • Filename
    4708950