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Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.SAT.2022.8
URN: urn:nbn:de:0030-drops-166825
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2022/16682/
Nadel, Alexander
Introducing Intel(R) SAT Solver
Abstract
We introduce Intel(R) SAT Solver (IntelSAT) - a new open-source CDCL SAT solver, written from scratch. IntelSAT is optimized for applications which generate many mostly satisfiable incremental SAT queries. We apply the following Incremental Lazy Backtracking (ILB) principle: in-between incremental queries, backtrack only when necessary and to the highest possible decision level. ILB is enabled by a novel reimplication procedure, which can reimply an assigned literal at a lower level without backtracking. Reimplication also helped us to restore the following two properties, lost in the modern solvers with the introduction of chronological backtracking: no assigned literal can be implied at a lower level, conflict analysis always starts with a clause falsified at the lowest possible level. In addition, we apply some new heuristics. Integrating IntelSAT into the MaxSAT solver TT-Open-WBO-Inc resulted in a significant performance boost on incomplete unweighted MaxSAT Evaluation benchmarks and improved the state-of-the-art in anytime unweighted MaxSAT solving.
BibTeX - Entry
@InProceedings{nadel:LIPIcs.SAT.2022.8,
author = {Nadel, Alexander},
title = {{Introducing Intel(R) SAT Solver}},
booktitle = {25th International Conference on Theory and Applications of Satisfiability Testing (SAT 2022)},
pages = {8:1--8:23},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-242-6},
ISSN = {1868-8969},
year = {2022},
volume = {236},
editor = {Meel, Kuldeep S. and Strichman, Ofer},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2022/16682},
URN = {urn:nbn:de:0030-drops-166825},
doi = {10.4230/LIPIcs.SAT.2022.8},
annote = {Keywords: SAT, CDCL, MaxSAT}
}
