A List by Author: Milan Češka
Computing Strongly Connected Components in Parallel on CUDA (full version)
The problem of decomposition of a directed graph into its strongly connected
CUDA accelerated LTL Model Checking
Recent technological developments made available various many-core hardware platforms. For example,
Distributed Qualitative LTL Model Checking of Markov Decision Processes
Probabilistic processes are used to model concurrent programs that exhibit uncertainty. The state explosion problem for probabilistic systems is more critical than in the non-probabilistic case. In the paper we propose a cluster-based algorithm for qualitative LTL model checking of finite state Markov decision processes. We use the automata approach which reduces the model checking problem to the question of existence of an accepting end component. The algorithm uses repeated reachability which systematically eliminates states that cannot belong to any accepting end component. A distinguished feature of the distributed algorithm is that its complexity meets the complexity of the best known sequential algorithm.
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