Host: The Japanese Society for Artificial Intelligence
Name : The 36th Annual Conference of the Japanese Society for Artificial Intelligence
Number : 36
Location : [in Japanese]
Date : June 14, 2022 - June 17, 2022
The widespread use of multi-core CPUs has led to the development of parallel SAT solvers, but most of them are nondeterministic. In addition, existing deterministic parallel SAT solvers such as ManyGlucose requires high development cost. In this study, we propose a framework to easily develop a deterministic parallel SAT solver, and show that homogeneous parallel SAT solvers based on this framework achieve the comparable performance with specialized one. Next, we attempted to reduce the latency for synchronization in heterogenous parallel SAT solvers. Our strategies achieve the performance improvement but did not lead to significant reductions in latency in the current stage.