Multithreaded SAT Solving

  • Authors:
  • Matthew Lewis;Tobias Schubert;Bernd Becker

  • Affiliations:
  • Institute for Computer Science, Albert-Ludwigs-University of Freiburg, Georges-Koehler-Allee 51, 791;Institute for Computer Science, Albert-Ludwigs-University of Freiburg, Georges-Koehler-Allee 51, 791;Institute for Computer Science, Albert-Ludwigs-University of Freiburg, Georges-Koehler-Allee 51, 791

  • Venue:
  • ASP-DAC '07 Proceedings of the 2007 Asia and South Pacific Design Automation Conference
  • Year:
  • 2007

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Abstract

This paper describes the multithreaded MiraXT SAT Solver which was designed to take advantage of current and future shared memory multiprocessor systems. The paper highlights design and implementation details that allow the multiple threads to run and cooperate efficiently. Results show that in single threaded mode, MiraXT compares well to other state of the art solvers on Industrial problems. In threaded mode, it provides cutting edge performance, as speedup is obtained on both SAT and UNSAT instances.