Exploiting symmetry in SMT problems

  • Authors:
  • David Déharbe;Pascal Fontaine;Stephan Merz;Bruno Woltzenlogel Paleo

  • Affiliations:
  • Universidade Federal do Rio Grande do Norte, Natal, RN, Brazil;University of Nancy and INRIA, Nancy, France;University of Nancy and INRIA, Nancy, France;Technische Universität Wien

  • Venue:
  • CADE'11 Proceedings of the 23rd international conference on Automated deduction
  • Year:
  • 2011

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Abstract

Methods exploiting problem symmetries have been very successful in several areas including constraint programming and SAT solving. We here recast a technique to enhance the performance of SMTsolvers by detecting symmetries in the input formulas and use them to prune the search space of the SMT algorithm. This technique is based on the concept of (syntactic) invariance by permutation of constants. An algorithm for solving SMT by taking advantage of such symmetries is presented. The implementation of this algorithm in the SMT-solver veriT is used to illustrate the practical benefits of this approach. It results in a significant improvement of veriT's performances on the SMTLIB benchmarks that places it ahead of the winners of the last editions of the SMT-COMP contest in the QF-UF category.