DocumentCode :
3375504
Title :
ASIG: An all-solution SAT solver for CNF formulas
Author :
Zhao, Weinan ; Wu, Weimin
Author_Institution :
Sch. of Comput. & Inf. Technol., Beijing Jiaotong Univ., Beijing, China
fYear :
2009
fDate :
19-21 Aug. 2009
Firstpage :
508
Lastpage :
513
Abstract :
An all-solution Boolean satisfiability (SAT) solver aims to find all the satisfying assignments. In this paper, we introduce ASIG, an all-solution solver for satisfiability problems. ASIG operates on conjunctive normal forms (CNFs) instead of circuits or hybrid representations as most other all-solution solvers did. ASIG prevents the same solution from being found again by creating a blocking clause from a solution and adding it into the clause database. To ensure efficiency, ASIG embeds an incremental mechanism into zchaff to avoid starting search from scratch in searching for a new solution. ASIG also implements some other blocking clause management strategies such as earlier termination and blocking clause merging to further improve efficiency. All our work is tested and analyzed on a set of CNF benchmarks.
Keywords :
Boolean algebra; computability; ASIG; CNF formulas; all assignment via incremental generation; all-solution Boolean satisfiability; all-solution SAT solver; blocking clause management strategies; clause database; conjunctive normal forms; earlier termination; incremental mechanism; Benchmark testing; Circuits; Databases; Electronic design automation and methodology; Information technology; Logic design; Logic testing; Merging; Minimization methods; Test pattern generators;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer-Aided Design and Computer Graphics, 2009. CAD/Graphics '09. 11th IEEE International Conference on
Conference_Location :
Huangshan
Print_ISBN :
978-1-4244-3699-6
Electronic_ISBN :
978-1-4244-3701-6
Type :
conf
DOI :
10.1109/CADCG.2009.5246850
Filename :
5246850
Link To Document :
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