GPUexplore 3.0: GPU Accelerated State Space Exploration for Concurrent Systems with Data

Anton Wijs; Muhammad Osama

doi:10.1007/978-3-031-32157-3_11

GPUexplore 3.0: GPU Accelerated State Space Exploration for Concurrent Systems with Data

Anton Wijs (Corresponding author)
, Muhammad Osama

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

6 Citations (Scopus)

21 Downloads (Pure)

Abstract

GPUexplore 3.0 is an explicit state space exploration tool that runs entirely on a graphics processing unit (GPU), and supports models of concurrent systems with data variables. We discuss its workflow and modelling language, present several design decisions regarding work distribution and retrieval, and experimentally evaluate the impact of those decisions. Our tool achieves acceleration up to 115 × and 28 × compared to single- and four-core LTSmin, respectively. It currently checks for deadlocks, with verification of temporal logic formulae planned for the near future.

Original language	English
Title of host publication	Model Checking Software
Subtitle of host publication	29th International Symposium, SPIN 2023, Paris, France, April 26–27, 2023, Proceedings
Editors	Georgiana Caltais, Christian Schilling
Place of Publication	Cham
Publisher	Springer
Pages	188-197
Number of pages	10
ISBN (Electronic)	978-3-031-32157-3
ISBN (Print)	978-3-031-32156-6
DOIs	https://doi.org/10.1007/978-3-031-32157-3_11
Publication status	Published - 2 May 2023
Event	29th International Symposium on Model Checking Software, SPIN 2023 - Paris, France Duration: 26 Apr 2023 → 27 Apr 2023

Publication series

Name	Lecture Notes in Computer Science (LNCS)
Volume	13872
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	29th International Symposium on Model Checking Software, SPIN 2023
Abbreviated title	SPIN 2023
Country/Territory	France
City	Paris
Period	26/04/23 → 27/04/23

Keywords

Explicit state space exploration
GPU
finite-state machines

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10.1007/978-3-031-32157-3_11

pdfFinal published version, 571 KBLicence: TAVERNE

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Wijs, A., & Osama, M. (2023). GPUexplore 3.0: GPU Accelerated State Space Exploration for Concurrent Systems with Data. In G. Caltais, & C. Schilling (Eds.), Model Checking Software: 29th International Symposium, SPIN 2023, Paris, France, April 26–27, 2023, Proceedings (pp. 188-197). (Lecture Notes in Computer Science (LNCS); Vol. 13872). Springer. https://doi.org/10.1007/978-3-031-32157-3_11

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abstract = "GPUexplore 3.0 is an explicit state space exploration tool that runs entirely on a graphics processing unit (GPU), and supports models of concurrent systems with data variables. We discuss its workflow and modelling language, present several design decisions regarding work distribution and retrieval, and experimentally evaluate the impact of those decisions. Our tool achieves acceleration up to 115 × and 28 × compared to single- and four-core LTSmin, respectively. It currently checks for deadlocks, with verification of temporal logic formulae planned for the near future.",

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Wijs, A & Osama, M 2023, GPUexplore 3.0: GPU Accelerated State Space Exploration for Concurrent Systems with Data. in G Caltais & C Schilling (eds), Model Checking Software: 29th International Symposium, SPIN 2023, Paris, France, April 26–27, 2023, Proceedings. Lecture Notes in Computer Science (LNCS), vol. 13872, Springer, Cham, pp. 188-197, 29th International Symposium on Model Checking Software, SPIN 2023, Paris, France, 26/04/23. https://doi.org/10.1007/978-3-031-32157-3_11

GPUexplore 3.0: GPU Accelerated State Space Exploration for Concurrent Systems with Data. / Wijs, Anton (Corresponding author); Osama, Muhammad.
Model Checking Software: 29th International Symposium, SPIN 2023, Paris, France, April 26–27, 2023, Proceedings. ed. / Georgiana Caltais; Christian Schilling. Cham: Springer, 2023. p. 188-197 (Lecture Notes in Computer Science (LNCS); Vol. 13872).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - GPUexplore 3.0 is an explicit state space exploration tool that runs entirely on a graphics processing unit (GPU), and supports models of concurrent systems with data variables. We discuss its workflow and modelling language, present several design decisions regarding work distribution and retrieval, and experimentally evaluate the impact of those decisions. Our tool achieves acceleration up to 115 × and 28 × compared to single- and four-core LTSmin, respectively. It currently checks for deadlocks, with verification of temporal logic formulae planned for the near future.

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KW - finite-state machines

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GPUexplore 3.0: GPU Accelerated State Space Exploration for Concurrent Systems with Data

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