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SAT 2022

Introducing Intel(R) SAT Solver

Conference Paper Accepted Paper Logic in Computer Science ยท Satisfiability

Abstract

We introduce Intel(R) SAT Solver (IntelSAT) - a new open-source CDCL SAT solver, written from scratch. IntelSAT is optimized for applications which generate many mostly satisfiable incremental SAT queries. We apply the following Incremental Lazy Backtracking (ILB) principle: in-between incremental queries, backtrack only when necessary and to the highest possible decision level. ILB is enabled by a novel reimplication procedure, which can reimply an assigned literal at a lower level without backtracking. Reimplication also helped us to restore the following two properties, lost in the modern solvers with the introduction of chronological backtracking: no assigned literal can be implied at a lower level, conflict analysis always starts with a clause falsified at the lowest possible level. In addition, we apply some new heuristics. Integrating IntelSAT into the MaxSAT solver TT-Open-WBO-Inc resulted in a significant performance boost on incomplete unweighted MaxSAT Evaluation benchmarks and improved the state-of-the-art in anytime unweighted MaxSAT solving.

Authors

Keywords

  • SAT
  • CDCL
  • MaxSAT

Context

Venue
International Conference on Theory and Applications of Satisfiability Testing
Archive span
2003-2025
Indexed papers
824
Paper id
663710157295410251
v2026.09.13