Treffer: Symmetries for Cube-And-Conquer in Finite Model Finding

Title:
Symmetries for Cube-And-Conquer in Finite Model Finding
Contributors:
João Araújo and Choiwah Chow and Mikoláš Janota
Publisher Information:
Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2023.
Publication Year:
2023
Document Type:
Konferenz Conference object<br />Article
File Description:
application/pdf
Language:
English
DOI:
10.4230/lipics.cp.2023.8
Rights:
CC BY
Accession Number:
edsair.dedup.wf.002..52acedf7ccbde3a360b0a3f4538e7673
Database:
OpenAIRE

Weitere Informationen

The cube-and-conquer paradigm enables massive parallelization of SAT solvers, which has proven to be crucial in solving highly combinatorial problems. In this paper, we apply the paradigm in the context of finite model finding, where we show that isomorphic cubes can be discarded since they lead to isomorphic models. However, we are faced with the complication that a well-known technique, the Least Number Heuristic (LNH), already exists in finite model finders to effectively prune (some) isomorphic models from the search. Therefore, it needs to be shown that isomorphic cubes still can be discarded when the LNH is used. The presented ideas are incorporated into the finite model finder Mace4, where we demonstrate significant improvements in model enumeration.