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Dual-processor parallelisation of symbolic probabilistic model checking

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3 Author(s)
M. Kwiatkowska ; Sch. of Comput. Sci., Univ. of Birmingham, UK ; D. Parker ; Yi Zhang

We describe the dual-processor parallelisation of a symbolic (BDD-based) implementation of probabilistic model checking. We use multi-terminal BDDs (binary decision diagrams), which allow a compact representation of large, structured Markov chains. We show that they also provide a convenient block decomposition of the Markov chain which we use to implement a parallelised version of the Gauss-Seidel iterative method. We provide experimental results on a range of case studies to illustrate the effectiveness of the technique, observing an average speed-up of 1.8 with two processors. Furthermore, we present an optimisation for our method based on preconditioning.

Published in:

Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, 2004. (MASCOTS 2004). Proceedings. The IEEE Computer Society's 12th Annual International Symposium on

Date of Conference:

4-8 Oct. 2004