Efficient GPU algorithms for parallel decomposition of graphs into strongly connected and maximal end components
نویسندگان
چکیده
منابع مشابه
Efficient GPU algorithms for parallel decomposition of graphs into strongly connected and maximal end components
This article presents parallel algorithms for component decomposition of graph structures on general purpose graphics processing units (GPUs). In particular, we consider the problem of decomposing sparse graphs into strongly connected components, and decomposing graphs induced by stochastic games (such as Markov decision processes) into maximal end components. These problems are key ingredients...
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This paper presents parallel algorithms for component decomposition of graph structures on General Purpose Graphics Processing Units (GPUs). In particular, we consider the problem of decomposing sparse graphs into strongly connected components, and decomposing stochastic games (such as Markov decision processes) into maximal end components. These problems are key ingredients of many (probabilis...
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ژورنال
عنوان ژورنال: Formal Methods in System Design
سال: 2016
ISSN: 0925-9856,1572-8102
DOI: 10.1007/s10703-016-0246-7