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- W126988573 abstract "Breadth-first search (BFS) is a basic algorithm for graph processing. It is a very important algorithm because a number of graph-processing algorithms use breadth-first search as a sub-routine. Recently, large-scale graphs have been used in various fields, and there is a growing need for an efficient approach by which to process large-scale graphs. In the present paper, we present a hybrid BFS implementation on a GPU for efficient traversal of a complex network, and we achieved a speedup of up to 29x, as compared to the previous GPU implementation. We also applied an implementation for GPUs on a distributed memory system. This implementation achieved a speed of 117.546 GigaTEPS on a 256-node HA-PACS cluster with 1,024 NVIDIA M2090 GPUs and was ranked 39th on the June 2013 Graph500 list." @default.
- W126988573 created "2016-06-24" @default.
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- W126988573 date "2013-01-01" @default.
- W126988573 modified "2023-09-27" @default.
- W126988573 title "Efficient Hybrid Breadth-First Search on GPUs" @default.
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- W126988573 doi "https://doi.org/10.1007/978-3-319-03889-6_5" @default.
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