BV2EPR: A Tool for Polynomially Translating Quantifier-free Bit-Vector Formulas into EPR

  • Gergely Kovasznai
  • , Andreas Fröhlich
  • , Armin Biere

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

Bit-precise reasoning is essential in many applications of Satisfiability Modulo Theories (SMT). In recent years, efficient approaches for solving fixed-size bit-vector formulas have been developed. Most of these approaches rely on bit-blasting. In [1], we argued that bit-blasting is not polynomial in general, and then showed that solving quantifier-free bit-vector formulas (QF_BV) is NEXPTIME-complete. In this paper, we present a tool based on a new polynomial translation from QF_BV to Effectively Propositional Logic (EPR). This allows us to solve QF_BV-problems using EPR-solvers and avoids the exponential growth that comes with bit-blasting. Additionally, our tool allows us to easily generate new challenging benchmarks for EPR solvers.
Original languageEnglish
Title of host publicationCADE 2013 - 24th International Conference on Automated Deduction, Proceedings
PublisherSpringer
Pages443-449
Number of pages7
ISBN (Print)9783642385735
DOIs
Publication statusPublished - 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7898 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Fields of science

  • 102011 Formal languages
  • 102 Computer Sciences
  • 101 Mathematics

JKU Focus areas

  • Computation in Informatics and Mathematics

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