• DocumentCode
    2780409
  • Title

    Automatic parallel SAT solving using MTSS

  • Author

    Vander-Swalmen, Pascal ; Krajecki, Michal ; Dequen, Gilles

  • Author_Institution
    CreSTIC & MIS, Univ. of Reims Champagne, Reims, France
  • fYear
    2009
  • fDate
    21-24 June 2009
  • Firstpage
    176
  • Lastpage
    177
  • Abstract
    Satisfiability Problem is a great and competitive practical approach to solve a wide range of industrial and academic problems. The size and difficulty of the SAT instances have grown significantly over years thanks to solvers always more competitive. Among the recent solvers, the main part of them are sequential. Even if all of them include a very interesting innovation to improve performances, they can not take advantage of new multicore processors widely available today. To overcome this situation, MTSS (Multi-Threaded Sat Solver) allows to parallelize an existing sequential SAT solver by introducing the principle of guiding tree in shared memory.
  • Keywords
    computability; multi-threading; optimisation; tree searching; MTSS; Multi-Threaded Sat Solver; Satisfiability Problem; automatic parallel SAT; combinatorial optimization; principle of guiding tree; sequential SAT solver; Artificial intelligence; Cryptography; Design optimization; Memory management; Message passing; Multicore processing; NP-complete problem; Technological innovation; Very large scale integration; Yarn; combinatorial optimization; parallel; satisfiability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing & Simulation, 2009. HPCS '09. International Conference on
  • Conference_Location
    Leipzig
  • Print_ISBN
    978-1-4244-4906-4
  • Electronic_ISBN
    978-1-4244-4907-1
  • Type

    conf

  • DOI
    10.1109/HPCSIM.2009.5191794
  • Filename
    5191794