Abstract
We propose a framework for SAT researchers to conveniently try out new ideas in the context of parallel SAT solving without the burden of dealing with all the underlying system issues that arise when implementing a massively parallel algorithm. The framework is based on the parallel execution language X10, and allows the parallel solver to easily run on both a single machine with multiple cores and across multiple machines, sharing information such as learned clauses. © 2012 Springer-Verlag.
Cite
CITATION STYLE
Bloom, B., Grove, D., Herta, B., Sabharwal, A., Samulowitz, H., & Saraswat, V. (2012). SatX10: A scalable plug&play parallel SAT framework (Tool presentation). In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7317 LNCS, pp. 463–468). https://doi.org/10.1007/978-3-642-31612-8_38
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