Abstract
Model checking using GPUs has seen increased popularity over the last years. Because GPUs have a limited amount of memory, only small to medium-sized systems can be verified. For on-the-fly explicit-state model checking, we improve memory efficiency by applying partial-order reduction. We propose novel parallel algorithms for three practical approaches to partial-order reduction. Correctness of the algorithms is proved using a new, weaker version of the cycle proviso. Benchmarks show that our implementation achieves a reduction similar to or better than the state-of-the-art techniques for CPUs, while the amount of runtime overhead is acceptable.
We gratefully acknowledge the support of NVIDIA Corporation with the donation of the GeForce Titan X used for this research.
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Notes
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Sources are available at https://github.com/ThomasNeele/GPUexplore.
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Acknowledgements
The authors would like to thank Alfons Laarman for his suggestions on how to improve this work.
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Neele, T., Wijs, A., Bošnački, D., van de Pol, J. (2016). Partial-Order Reduction for GPU Model Checking. In: Artho, C., Legay, A., Peled, D. (eds) Automated Technology for Verification and Analysis. ATVA 2016. Lecture Notes in Computer Science(), vol 9938. Springer, Cham. https://doi.org/10.1007/978-3-319-46520-3_23
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