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Scalable Proof Producing Multi-Threaded SAT Solving with Gimsatul through Sharing instead of Copying Clauses

27 Jul 2022arXiv:2207.13577links table onlyarchive 2025-07-28

Mathias Fleury, Armin Biere

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We give a first account of our new parallel SAT solver Gimsatul. Its key feature is to share clauses physically in memory instead of copying them, which is the method of other state-of-the-art multi-threaded SAT solvers to exchange clauses logically. Our approach keeps information about which literals are watched in a clause local to a solving thread but shares the actual immutable literals of a clause globally among all solving threads. This design gives quite remarkable parallel scalability, allows aggressive clause sharing while keeping memory usage low and produces more compact proofs.

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