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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5584))

Abstract

Most current propositional SAT solvers apply resolution at various stages to derive new clauses or simplify existing ones. The former happens during conflict analysis, while the latter is usually done during preprocessing. We show how subsumption of the operands by the resolvent can be inexpensively detected during resolution; we then show how this detection is used to improve three stages of the SAT solver: variable elimination, clause distillation, and conflict analysis. The “on-the-fly” subsumption check is easily integrated in a SAT solver. In particular, it is compatible with the strong conflict analysis and the generation of unsatisfiability proofs. Experiments show the effectiveness of this technique and illustrate an interesting synergy between preprocessing and the DPLL procedure.

This work was supported in part by SRC contract 2008-TJ-1859.

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References

  1. Eén, N., Biere, A.: Effective preprocessing in SAT through variable and clause elimination. In: Bacchus, F., Walsh, T. (eds.) SAT 2005. LNCS, vol. 3569, pp. 61–75. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  2. Eén, N., Mishchenko, A., Sörensson, N.: Applying logic synthesis for speeding up SAT. In: Marques-Silva, J., Sakallah, K.A. (eds.) SAT 2007. LNCS, vol. 4501, pp. 272–286. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  3. Eén, N., Sörensson, N.: An extensible SAT-solver. In: Giunchiglia, E., Tacchella, A. (eds.) SAT 2003. LNCS, vol. 2919, pp. 502–518. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  4. Han, H., Somenzi, F.: Alembic: An efficient algorithm for CNF preprocessing. In: Proceedings of the Design Automation Conference, San Diego, CA, June 2007, pp. 582–587 (2007)

    Google Scholar 

  5. Jin, H., Awedh, M., Somenzi, F.: CirCUs: A satisfiability solver geared towards bounded model checking. In: Alur, R., Peled, D.A. (eds.) CAV 2004. LNCS, vol. 3114, pp. 519–522. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  6. Jin, H., Somenzi, F.: Strong conflict analysis for propositional satisfiability. In: Design, Automation and Test in Europe (DATE 2006), Munich, Germany, March 2006, pp. 818–823 (2006)

    Google Scholar 

  7. Nadel, A.: The Jerusat SAT solver. Master’s thesis, Hebrew University of Jerusalem (2002)

    Google Scholar 

  8. http://reasoning.cs.ucla.edu/rsat/

  9. http://www.cs.chalmers.se/Cs/Research/FormalMethods/MiniSat/MiniSat.html

  10. Silva, J.P.M., Sakallah, K.A.: Grasp—a new search algorithm for satisfiability. In: Proceedings of the International Conference on Computer-Aided Design, San Jose, CA, November 1996, pp. 220–227 (1996)

    Google Scholar 

  11. Sörensson, N., Eén, N.: MiniSat v1.13 – a SAT solver with conflict-clause minimization. In: Bacchus, F., Walsh, T. (eds.) SAT 2005. LNCS, vol. 3569. Springer, Heidelberg (2005)

    Google Scholar 

  12. Zhang, L.: On subsumption removal and on-the-fly CNF simplification. In: Bacchus, F., Walsh, T. (eds.) SAT 2005. LNCS, vol. 3569, pp. 482–489. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  13. Zhang, L., Madigan, C., Moskewicz, M., Malik, S.: Efficient conflict driven learning in Boolean satisfiability solver. In: Proceedings of the International Conference on Computer-Aided Design, San Jose, CA, November 2001, pp. 279–285 (2001)

    Google Scholar 

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Han, H., Somenzi, F. (2009). On-the-Fly Clause Improvement. In: Kullmann, O. (eds) Theory and Applications of Satisfiability Testing - SAT 2009. SAT 2009. Lecture Notes in Computer Science, vol 5584. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02777-2_21

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  • DOI: https://doi.org/10.1007/978-3-642-02777-2_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02776-5

  • Online ISBN: 978-3-642-02777-2

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