Abstract
In this article we present the parallelisation of an explicit-state CTL* model checking algorithm for a virtual shared-memory high-performance parallel machine architecture. The algorithm uses a combination of private and shared data structures for implicit and dynamic load balancing with minimal synchronisation overhead. The performance of the algorithm and the impact that different design decisions have on the performance are analysed using both mathematical cost models and experimental results. The analysis shows not only the practicality and effective speedup of the algorithm, but also the main pitfalls of parallelising model checking for shared-memory architectures.
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