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Parallel SAT Solving in Bounded Model Checking

  • Erika Ábrahám
  • Tobias Schubert
  • Bernd Becker
  • Martin Fränzle
  • Christian Herde
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4346)

Abstract

Bounded Model Checking (BMC) is an incremental refutation technique to search for counterexamples of increasing length. The existence of a counterexample of a fixed length is expressed by a first-order logic formula that is checked for satisfiability using a suitable solver.

We apply communicating parallel solvers to check satisfiability of the BMC formulae. In contrast to other parallel solving techniques, our method does not parallelize the satisfiability check of a single formula, but the parallel solvers work on formulae for different counterexample lengths. We adapt the method of constraint sharing and replication of Shtrichman, originally developed for sequential BMC, to the parallel setting. Since the learning mechanism is now parallelized, it is not obvious whether there is a benefit from the concepts of Shtrichman in the parallel setting. We demonstrate on a number of benchmarks that adequate communication between the parallel solvers yields the desired results.

Keywords

Conjunctive Normal Form Hybrid Automaton Bound Model Check Parallel Solver Constraint Sharing 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Erika Ábrahám
    • 1
    • 3
  • Tobias Schubert
    • 1
  • Bernd Becker
    • 1
  • Martin Fränzle
    • 2
  • Christian Herde
    • 2
  1. 1.Albert-Ludwigs-Universität FreiburgGermany
  2. 2.Carl von Ossietzky Universität OldenburgGermany
  3. 3.RWTH AachenGermany

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