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Parallel probabilistic model checking on general purpose graphics processors

  • SPIN 2009
  • Published:
International Journal on Software Tools for Technology Transfer Aims and scope Submit manuscript

Abstract

We present algorithms for parallel probabilistic model checking on general purpose graphic processing units (GPGPUs). Our improvements target the numerical components of the traditional sequential algorithms. In particular, we capitalize on the fact that in most of them operations like matrix–vector multiplication and solving systems of linear equations are the main complexity bottlenecks. Since linear algebraic operations can be implemented very efficiently on GPGPUs, the new parallel algorithms show considerable runtime improvements compared to their counterparts on standard architectures. We implemented our parallel algorithms on top of the probabilistic model checker PRISM. The prototype implementation was evaluated on several case studies in which we observed significant speedup over the standard CPU implementation of the tool.

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Authors and Affiliations

  1. Eindhoven University of Technology, Eindhoven, The Netherlands

    Dragan Bošnački & Anton Wijs

  2. TZI, Universität Bremen, Bremen, Germany

    Stefan Edelkamp & Damian Sulewski

Authors
  1. Dragan Bošnački
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  2. Stefan Edelkamp
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  3. Damian Sulewski
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  4. Anton Wijs
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Correspondence to Dragan Bošnački.

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Bošnački, D., Edelkamp, S., Sulewski, D. et al. Parallel probabilistic model checking on general purpose graphics processors. Int J Softw Tools Technol Transfer 13, 21–35 (2011). https://doi.org/10.1007/s10009-010-0176-4

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