On the scalability of the GPUexplore explicit-state model checker

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

6 Citations (Scopus)
99 Downloads (Pure)


The use of graphics processors (GPUs) is a promising approach to speed up model checking to such an extent that it becomes feasible to instantly verify software systems during development. GPUexplore is an explicit-state model checker that runs all its computations on the GPU. Over the years it has been extended with various techniques, and the possibilities to further improve its performance have been continuously investigated. In this paper, we discuss how the hash table of the tool works, which is at the heart of its functionality. We propose an alteration of the hash table that in isolated experiments seems promising, and analyse its effect when integrated in the tool. Furthermore, we investigate the current scalability of GPUexplore, by experimenting both with input models of varying sizes and running the tool on one of the latest GPUs of NVIDIA.
Original languageEnglish
Title of host publicationProceedings Third Workshop on Graphs as Models (GaM 2017), 23 April 2017, Uppsala, Sweden
EditorsTimo Kehrer, Alice Miller
Number of pages15
Publication statusPublished - 22 Dec 2017

Publication series

NameElectronic Proceedings in Theoretical Computer Science
PublisherOpen Publishing Association
ISSN (Electronic)2075-2180


Dive into the research topics of 'On the scalability of the GPUexplore explicit-state model checker'. Together they form a unique fingerprint.

Cite this