Distributed breadth-first search LTL model checking

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Abstract

We propose a parallel distributed memory on-the-fly algorithm for enumerative LTL model checking. The algorithm is designed for networks of workstations communicating via MPI. The detection of cycles (faulty runs) effectively employs the so-called back-level edges. In particular, a parallel level synchronized breadth-first search of the graph is performed to discover all back-level edges, and for each level the back-level edges are checked in parallel by a nested search procedure to confirm or refute the presence of a cycle. Several improvements of the basic algorithm are presented and advantages and drawbacks of their application to distributed LTL model checking are discussed.

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