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SWORD – Module-based SAT Solving

Authors: Robert Wille, Jean Christoph Jung, Andre Sülflow, and Rolf Drechsler

Published in: Dagstuhl Seminar Proceedings, Volume 9461, Algorithms and Applications for Next Generation SAT Solvers (2010)


Abstract
In the paper, SWORD is described – a decision procedure for bit-vector logic that uses SAT techniques and exploits word level information. The main idea of SWORD is based on the following observation: While current SAT solvers perform very well on instances with a large number of logic operations, their performance on arithmetic operations degrades with increasing data-path width. In contrast, pure word-level approaches are able to handle arithmetic operations very fast, but suffer from irregularities in the word-level structure (e.g. bit slicing). SWORD tries to combine the best of both worlds: On the one hand, it includes fast propagation, sophisticated data structures, as well as advanced techniques like non-chronological backtracking and learning from modern SAT solvers. On the other hand word-level information is exploited in the decision heuristic and during propagation.

Cite as

Robert Wille, Jean Christoph Jung, Andre Sülflow, and Rolf Drechsler. SWORD – Module-based SAT Solving. In Algorithms and Applications for Next Generation SAT Solvers. Dagstuhl Seminar Proceedings, Volume 9461, pp. 1-2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2010)


Copy BibTex To Clipboard

@InProceedings{wille_et_al:DagSemProc.09461.5,
  author =	{Wille, Robert and Jung, Jean Christoph and S\"{u}lflow, Andre and Drechsler, Rolf},
  title =	{{SWORD – Module-based SAT Solving}},
  booktitle =	{Algorithms and Applications for Next Generation SAT Solvers},
  pages =	{1--2},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2010},
  volume =	{9461},
  editor =	{Bernd Becker and Valeria Bertacoo and Rolf Drechsler and Masahiro Fujita},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.09461.5},
  URN =		{urn:nbn:de:0030-drops-25069},
  doi =		{10.4230/DagSemProc.09461.5},
  annote =	{Keywords: SAT Solver, Word Level, SAT Modulo Theories}
}
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