Abstract. In this paper, we explore the two well-known principles of diversification and intensification in portfolio-based parallel SAT solving. These dual concepts play an impo...
Abstract. We describe our progress building the program ReductionFinder, which uses off-the-shelf SAT solvers together with the Cmodels system to automatically search for reduction...
Modern complete SAT solvers almost uniformly implement variations of the clause learning framework introduced by Grasp and Chaff. The success of these solvers has been theoretical...
Boolean Constraint Propagation (BCP) is recognized as one of the most useful technique for efficient satisfiability checking. In this paper a new extension of the scope of boole...
- It is a hotly research topic to eliminate irrelevant variables from counterexample, to make it easier to be understood. BFL algorithm is the most effective Counterexample minim...
Grid computing offers a promising approach to solving challenging computational problems in an environment consisting of a large number of easily accessible resources. In this pape...
This work presents a memory-efficient All-SAT engine which, given a propositional formula over sets of important and non-important variables, returns the set of all the assignments...
This paper presents a verification technique for functional comparison of large combinational circuits using a novel combination of known approaches. The idea is based on a tight...
We present a distributed algorithm for computing equilibria of heterogeneous nonmonotonic multi-context systems (MCS). The algorithm can be parametrized to compute only partial eq...
Minh Dao-Tran, Thomas Eiter, Michael Fink, Thomas ...
— Modern SAT solvers have proved highly successful in finding counterexamples to temporal properties of systems, using a method known as ”bounded model checking”. It is natu...