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» Integration of supercubing and learning in a SAT solver
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ASPDAC
2005
ACM
85views Hardware» more  ASPDAC 2005»
13 years 10 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. Rece...
Domagoj Babic, Alan J. Hu
DAC
2005
ACM
14 years 5 months ago
Efficient SAT solving: beyond supercubes
SAT (Boolean satisfiability) has become the primary Boolean reasoning engine for many EDA applications, so the efficiency of SAT solving is of great practical importance. Recently...
Domagoj Babic, Jesse D. Bingham, Alan J. Hu
FROCOS
2011
Springer
12 years 4 months ago
Stochastic Local Search for SMT: Combining Theory Solvers with WalkSAT
A dominant approach to Satisfiability Modulo Theories (SMT) relies on the integration of a Conflict-Driven-Clause-Learning (CDCL) SAT solver and of a decision procedure able to h...
Alberto Griggio, Quoc-Sang Phan, Roberto Sebastian...
JSAT
2006
134views more  JSAT 2006»
13 years 4 months ago
Pueblo: A Hybrid Pseudo-Boolean SAT Solver
This paper introduces a new hybrid method for efficiently integrating Pseudo-Boolean (PB) constraints into generic SAT solvers in order to solve PB satisfiability and optimization...
Hossein M. Sheini, Karem A. Sakallah
FMCAD
2006
Springer
13 years 8 months ago
Ario: A Linear Integer Arithmetic Logic Solver
Ario is a solver for systems of linear integer arithmetic logic. Such systems are commonly used in design verification applications and are classified under Satisfiability Modulo T...
Hossein M. Sheini, Karem A. Sakallah