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Automatic generation of propagation complete SAT encodings

Abstract:

Almost all applications of SAT solvers generate Boolean formulae from higher level expression graphs by encoding the semantics of each operation or relation into propositional logic. All non-trivial relations have many different possible encodings and the encoding used can have a major effect on the performance of the system. This paper gives an abstract satisfaction based formalisation of one aspect of encoding quality, the propagation strength, and shows that propagation complete SAT encodi...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/978-3-662-49122-5_26

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
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Institution:
University of Oxford
Role:
Author
Publisher:
Springer, Berlin, Heidelberg Publisher's website
Host title:
VMCAI 2016: Verification, Model Checking, and Abstract Interpretation
Series:
Lecture Notes in Computer Science
Journal:
international Conference on Verification, Model Checking, and Abstract Interpretation 2016 Journal website
Volume:
9583
Pages:
536-556
Publication date:
2015-12-25
DOI:
ISSN:
0302-9743
ISBN:
9783662491218
Pubs id:
pubs:573519
UUID:
uuid:a0288804-7811-4e1a-84f2-8972e6960040
Local pid:
pubs:573519
Source identifiers:
573519
Deposit date:
2015-11-16

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