March_eq
March_eq: Implementing additional reasoning into an efficient look-ahead SAT solver This paper discusses several techniques to make the look-ahead architecture for satisfiability (Sat) solvers more competitive. Our contribution consists of reduction of the computational costs to perform look-ahead and a cheap integration of both equivalence reasoning and local learning. Most proposed techniques are illustrated with experimental results of their implementation in our solver march_eq.
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References in zbMATH (referenced in 12 articles , 1 standard article )
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- Kullmann, Oliver: Present and future of practical SAT solving (2008)
- Herwig, P. R.; Heule, M. J. H.; van Lambalgen, P. M.; van Maaren, H.: A new method to construct lower bounds for van der Waerden numbers (2007)
- Haanpää, Harri; Järvisalo, Matti; Kaski, Petteri; Niemelä, Ilkka: Hard satisfiable clause sets for benchmarking equivalence reasoning techniques (2006)
- Armando, Alessandro; Castellini, Claudio; Giunchiglia, Enrico; Maratea, Marco: The SAT-based approach to separation logic (2005)
- Heule, Marijn; Dufour, Mark; van Zwieten, Joris; van Maaren, Hans: March_eq: Implementing additional reasoning into an efficient look-ahead SAT solver (2005)