LPSAT is an LP-based comprehensive infrastructure designed to solve the satisfiability (SAT) problem for complex RTL designs containing both word-level arithmetic operators and bit-level Boolean logic. The presented technique uses a mixed integer linear program to model the constraints corresponding to both domains of the design. Our technique renders the constraint propagation between the two domains implicit to the MILP solver, thus enhancing the overall efficiency of the SAT framework. The experimental results are quite promising when compared with generic CNF-based and BDD-based SAT algorithms. I
Conflict-Driven Clause Learning (CDCL) SAT solvers can automatically solve very large real-world pro...
Conflict-driven clause learning (CDCL) is at the core of the success of modern SAT solvers. In terms...
The availability of decision procedures for combinations of boolean and linear mathematical proposit...
Recent improvements in propositional satisfiability techniques (SAT) made it possible to tackle suc...
Recent improvements in propositional satisfiability techniques (SAT) made it possible to tackle succ...
Formal checking at Register-Transfer Level (RTL) is currently a fundamental step in the design of ha...
Submitted on behalf of EDAA (http://www.edaa.com/)International audienceWe present new techniques fo...
Optimized solvers for the Boolean Satisfiability (SAT) problem have many applications in areas such ...
Satisfiability of complex word-level formulas often arises as a problem in formal verification of ha...
Recent advances in solving propositional satisfiability problems (SAT) have extended their applicati...
Proving logic formulas is a problem of immense importance both theoretically and practically. On the...
The past few years have seen an enormous progress in the performance of Boolean satisfiability (SAT)...
The increase in size and functional complexity of digital designs necessitates the development of ro...
The satisfiability problem (SAT) is a fundamental problem in mathematical logic, constraint satisfac...
The Boolean SATisfiability problem (SAT) is of central importance in computer science. Although SAT ...
Conflict-Driven Clause Learning (CDCL) SAT solvers can automatically solve very large real-world pro...
Conflict-driven clause learning (CDCL) is at the core of the success of modern SAT solvers. In terms...
The availability of decision procedures for combinations of boolean and linear mathematical proposit...
Recent improvements in propositional satisfiability techniques (SAT) made it possible to tackle suc...
Recent improvements in propositional satisfiability techniques (SAT) made it possible to tackle succ...
Formal checking at Register-Transfer Level (RTL) is currently a fundamental step in the design of ha...
Submitted on behalf of EDAA (http://www.edaa.com/)International audienceWe present new techniques fo...
Optimized solvers for the Boolean Satisfiability (SAT) problem have many applications in areas such ...
Satisfiability of complex word-level formulas often arises as a problem in formal verification of ha...
Recent advances in solving propositional satisfiability problems (SAT) have extended their applicati...
Proving logic formulas is a problem of immense importance both theoretically and practically. On the...
The past few years have seen an enormous progress in the performance of Boolean satisfiability (SAT)...
The increase in size and functional complexity of digital designs necessitates the development of ro...
The satisfiability problem (SAT) is a fundamental problem in mathematical logic, constraint satisfac...
The Boolean SATisfiability problem (SAT) is of central importance in computer science. Although SAT ...
Conflict-Driven Clause Learning (CDCL) SAT solvers can automatically solve very large real-world pro...
Conflict-driven clause learning (CDCL) is at the core of the success of modern SAT solvers. In terms...
The availability of decision procedures for combinations of boolean and linear mathematical proposit...