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Distributed breadth-first search LTL model checking

机译:分布式广度优​​先搜索LTL模型检查

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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.
机译:我们提出了一种并行的分布式存储动态算法,用于枚举LTL模型检查。该算法设计用于通过MPI通信的工作站网络。循环(故障运行)的检测有效地利用了所谓的后沿边缘。具体而言,执行图的并行级别同步的广度优先搜索以发现所有后级边缘,并且对于每个级别,通过嵌套搜索过程并行检查后级边缘,以确认或反驳周期。提出了基本算法的一些改进,并讨论了其在分布式LTL模型检查中的优缺点。

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