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ParaMoC: A Parallel Model Checker for Pushdown Systems

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Algorithms and Architectures for Parallel Processing (ICA3PP 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11945))

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Abstract

Model checking on Pushdown Systems (PDSs) has been extensively used to deal with numerous practical problems. However, the existing model checkers for pushdown systems are executed on the central processing unit (CPU), the performance is hampered by the computing power of the CPU. Compared with the CPU, the graphics processing unit (GPU) has more processing cores, which are suitable and efficient for parallel computing. Therefore, it is very attractive to accelerate model checking of PDSs on the GPU. In this paper, we present a new parallel model checker, named ParaMoC, to speed up the performance of model checking problems for pushdown systems (PDSs). Moreover, we focus on how to use Graphics Processing Units (GPUs) to accelerate the reachability verification and the LTL model checking of PDSs. The ParaMoC running on a state-of-the-art GPU can be 100 times faster than the traditional PDS model checker.

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Notes

  1. 1.

    ParaMoC is available at https://sites.google.com/view/ParaMoC.

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Acknowledgements

This work is partially supported by Shanghai Science and Technology Committee Rising-Star Program (No. 18QB1402000), National Natural Science Foundation of China (No. 61602178), China HGJ Project under Grant (No. 2017ZX01038102-002), and National Defense Basic Scientific Research Program of China (No. JCKY2016204B503).

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Correspondence to Jianqi Shi .

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Wei, H., Ye, X., Shi, J., Huang, Y. (2020). ParaMoC: A Parallel Model Checker for Pushdown Systems. In: Wen, S., Zomaya, A., Yang, L.T. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2019. Lecture Notes in Computer Science(), vol 11945. Springer, Cham. https://doi.org/10.1007/978-3-030-38961-1_26

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  • DOI: https://doi.org/10.1007/978-3-030-38961-1_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-38960-4

  • Online ISBN: 978-3-030-38961-1

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