• DocumentCode
    3375504
  • Title

    ASIG: An all-solution SAT solver for CNF formulas

  • Author

    Zhao, Weinan ; Wu, Weimin

  • Author_Institution
    Sch. of Comput. & Inf. Technol., Beijing Jiaotong Univ., Beijing, China
  • fYear
    2009
  • fDate
    19-21 Aug. 2009
  • Firstpage
    508
  • Lastpage
    513
  • Abstract
    An all-solution Boolean satisfiability (SAT) solver aims to find all the satisfying assignments. In this paper, we introduce ASIG, an all-solution solver for satisfiability problems. ASIG operates on conjunctive normal forms (CNFs) instead of circuits or hybrid representations as most other all-solution solvers did. ASIG prevents the same solution from being found again by creating a blocking clause from a solution and adding it into the clause database. To ensure efficiency, ASIG embeds an incremental mechanism into zchaff to avoid starting search from scratch in searching for a new solution. ASIG also implements some other blocking clause management strategies such as earlier termination and blocking clause merging to further improve efficiency. All our work is tested and analyzed on a set of CNF benchmarks.
  • Keywords
    Boolean algebra; computability; ASIG; CNF formulas; all assignment via incremental generation; all-solution Boolean satisfiability; all-solution SAT solver; blocking clause management strategies; clause database; conjunctive normal forms; earlier termination; incremental mechanism; Benchmark testing; Circuits; Databases; Electronic design automation and methodology; Information technology; Logic design; Logic testing; Merging; Minimization methods; Test pattern generators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Aided Design and Computer Graphics, 2009. CAD/Graphics '09. 11th IEEE International Conference on
  • Conference_Location
    Huangshan
  • Print_ISBN
    978-1-4244-3699-6
  • Electronic_ISBN
    978-1-4244-3701-6
  • Type

    conf

  • DOI
    10.1109/CADCG.2009.5246850
  • Filename
    5246850