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- W2401662583 abstract "Minimum vertex cover problems are one of the fundamental problems in graph theory and are known to be NP-hard. For structural data mining, we have proposed a GPU-based algorithm for minimum vertex cover problems. To derive sufficient parallelism for the many cores platform, the algorithm employs a distributed fashion for parallel operations, that is, GPU cores can basically perform their elemental operation only with their own data. Through the experimental evaluation, we demonstrate that our GPU algorithm implemented on both NVIDIA Fermi and Kepler GPU architectures is quite faster than a CPU version and the speedup becomes much evident when the graph size is enlarged." @default.
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- W2401662583 date "2015-06-01" @default.
- W2401662583 modified "2023-09-23" @default.
- W2401662583 title "GPU-based Acceleration of Minimum Vertex Covering for Large-scale Graphs" @default.
- W2401662583 hasPublicationYear "2015" @default.
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