License
When quoting this document, please refer to the following
URN: urn:nbn:de:0030-drops-25069
URL: http://drops.dagstuhl.de/opus/volltexte/2010/2506/
Go to the corresponding Portal


Wille, Robert ; Jung, Jean Christoph ; Sülflow, Andre ; Drechsler, Rolf

SWORD -- Module-based SAT Solving

pdf-format:
Document 1.pdf (85 KB)


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.

BibTeX - Entry

@InProceedings{wille_et_al:DSP:2010:2506,
  author =	{Robert Wille and Jean Christoph Jung and Andre S{\"u}lflow and Rolf Drechsler},
  title =	{SWORD -- Module-based SAT Solving},
  booktitle =	{Algorithms and Applications for Next Generation SAT Solvers},
  year =	{2010},
  editor =	{Bernd Becker and Valeria Bertacoo and Rolf Drechsler and Masahiro Fujita},
  number =	{09461},
  series =	{Dagstuhl Seminar Proceedings},
  ISSN =	{1862-4405},
  publisher =	{Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2010/2506},
  annote =	{Keywords: SAT Solver, Word Level, SAT Modulo Theories}
}

Keywords: SAT Solver, Word Level, SAT Modulo Theories
Seminar: 09461 - Algorithms and Applications for Next Generation SAT Solvers
Issue Date: 2010
Date of publication: 17.03.2010


DROPS-Home | Fulltext Search | Imprint Published by LZI