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ASPDAC
2005
ACM

Integration of supercubing and learning in a SAT solver

13 years 9 months ago
Integration of supercubing and learning in a SAT solver
Abstract— Learning is an essential pruning technique in modern SAT solvers, but it exploits a relatively small amount of information that can be deduced from the conflicts. Recently a new pruning technique called supercubing was proposed [1]. Supercubing can exploit functional symmetries that are abundant in industrial SAT instances. We point out the significant difficulties of integrating supercubing with learning and propose solutions. Our experimental solver is the first supercubing-based solver with performance comparable to leading edge solvers.
Domagoj Babic, Alan J. Hu
Added 26 Jun 2010
Updated 26 Jun 2010
Type Conference
Year 2005
Where ASPDAC
Authors Domagoj Babic, Alan J. Hu
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