Using execution logs for improving Pseudo-Boolean propagation
Among all procedures that CDCL-based SAT solvers implement, unit propagation dominates the total running time. Hence, it is not a surprise that large research efforts have been invested on improving it. As a result, the two-watched-literal scheme, enhanced with implementation details boosting its performance, emerged as the dominant method. The importance of unit propagation in pseudo-Boolean solvers is similar. However, no dominant method exists: counter and watch-based propagation are well-suited for different types of constraints, opening the door to hybrid methods. The higher complexity of implementing pseudo-Boolean solvers has shifted the research focus to higher-level aspects of other procedures, considering implementation details of unit propagation not a priority. In this paper, we first present execution logs: a novel methodology that allows us to precisely evaluate the performance of different propagation procedures. Secondly, we show how both counter and watch-based propagation routines in the RoundingSat solver can be largely improved thanks to a careful analysis of various implementation issues. Thirdly, a detailed analysis shows that hybrid methods outperform the ones based on a single technique. Finally, our experiments reveal that improvements in propagation lead to a clearly better overall performance of the solver.
Authors
- Robert Nieuwenhuis (ORCID: https://orcid.org/0000-0002-6489-2138)
- Albert Oliveras (ORCID: https://orcid.org/0000-0002-5893-1911)
- Enric Rodríguez-Carbonell (ORCID: https://orcid.org/0000-0003-1061-3954)
- Rui Zhao (ORCID: https://orcid.org/0000-0003-4855-2181)
Institutions
- Port d'Informació Científica (ES)
- Universitat Politècnica de Catalunya (ES)
Publication Details
- Journal
- Artificial Intelligence
- Published
- 2025-12-18
- DOI
- https://doi.org/10.1016/j.artint.2025.104470
- Primary Topic
- Formal Methods in Verification
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Regional Development Fund
- Agencia Estatal de Investigación