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Weighted Model Counting on the GPU by Exploiting Small Treewidth

Authors Johannes K. Fichte , Markus Hecher , Stefan Woltran , Markus Zisser

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Author Details

Johannes K. Fichte
  • International Center for Computational Logic, TU Dresden, 01062 Dresden, Germany
Markus Hecher
  • Institute of Logic and Computation, TU Wien, Favoritenstraße 9-11, 1040 Wien, Austria
Stefan Woltran
  • Institute of Logic and Computation, TU Wien, Favoritenstraße 9-11, 1040 Wien, Austria
Markus Zisser
  • Institute of Logic and Computation, TU Wien, Favoritenstraße 9-11, 1040 Wien, Austria

Funding

The work has been supported by the Austrian Science Fund (FWF), Grants Y698 and P26696, and the German Science Fund (DFG), Grant HO 1294/11-1. The first and second author are also affiliated with the University of Potsdam, Germany.

Cite As Get BibTex

Johannes K. Fichte, Markus Hecher, Stefan Woltran, and Markus Zisser. Weighted Model Counting on the GPU by Exploiting Small Treewidth. In 26th Annual European Symposium on Algorithms (ESA 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 112, pp. 28:1-28:16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018) https://doi.org/10.4230/LIPIcs.ESA.2018.28

Abstract

We propose a novel solver that efficiently finds almost the exact number of solutions of a Boolean formula (#Sat) and the weighted model count of a weighted Boolean formula (WMC) if the treewidth of the given formula is sufficiently small. The basis of our approach are dynamic programming algorithms on tree decompositions, which we engineered towards efficient parallel execution on the GPU. We provide thorough experiments and compare the runtime of our system with state-of-the-art #Sat and WMC solvers. Our results are encouraging in the sense that also complex reasoning problems can be tackled by parameterized algorithms executed on the GPU if instances have treewidth at most 30, which is the case for more than half of counting and weighted counting benchmark instances.

Subject Classification

ACM Subject Classification
  • Theory of computation → Parameterized complexity and exact algorithms
  • Theory of computation → Complexity theory and logic
  • Computer systems organization → Single instruction, multiple data
  • Hardware → Theorem proving and SAT solving
  • Computing methodologies → Graphics processors
Keywords
  • Parameterized Algorithms
  • Weighted Model Counting
  • General Purpose Computing on Graphics Processing Units
  • Dynamic Programming
  • Tree Decompositions
  • Treewidth

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