Abstract

This paper focuses on developing efficient inference techniques for improving conjunctive normal form (CNF) Boolean satisfiability (SAT) solvers. We analyze a variant of hyper binary resolution from various perspectives: We show that it can simulate the circuit-level technique of structural hashing and how it can be realized efficiently using so called tree-based lookahead. Experiments show that our implementation improves the performance of state-of-the-art CNF-level SAT techniques on combinational equivalent checking instances.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Marijn J. H. Heule
    • 1
    • 3
  • Matti Järvisalo
    • 2
  • Armin Biere
    • 3
  1. 1.Department of Computer ScienceThe University of Texas at AustinUnited States
  2. 2.HIIT & Department of Computer ScienceUniversity of HelsinkiFinland
  3. 3.Institute for Formal Models and VerificationJohannes Kepler University LinzAustria

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