Petechiae
发表于 2025-3-23 09:58:48
: A Domain Specific Language for Graph Analytics,The domain-specific language . is presented in this chapter. The data types and statements of . that support easy programming of graph analytics applications are described. To drive home the point that . programs can be very efficient, code generation mechanisms used in the . compiler are delineated with examples.
象形文字
发表于 2025-3-23 16:37:45
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Flat-Feet
发表于 2025-3-23 21:07:58
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得意牛
发表于 2025-3-24 00:58:21
https://doi.org/10.1057/9780230270688 like traversals, shortest paths, etc., more specialized algorithms such as betweenness centrality, page rank, etc. follow. The chapter ends with a focused discussion of applications of graph analytics in different domains such as graph mining and graph databases.
essential-fats
发表于 2025-3-24 04:46:36
https://doi.org/10.1057/9780230270688dels of execution that are used in graph analytics, such as BSP, Map-Reduce, asynchronous execution, GAS, Inspector-Executor, and Advance-Filter-Compute. It also provides a glimpse of different existing frameworks on multi-core CPUs, GPUs, and distributed systems.
obligation
发表于 2025-3-24 07:06:56
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解冻
发表于 2025-3-24 14:35:24
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compassion
发表于 2025-3-24 17:31:45
Graph Algorithms and Applications, like traversals, shortest paths, etc., more specialized algorithms such as betweenness centrality, page rank, etc. follow. The chapter ends with a focused discussion of applications of graph analytics in different domains such as graph mining and graph databases.
insipid
发表于 2025-3-24 22:08:56
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sparse
发表于 2025-3-25 02:32:04
Dynamic Graph Algorithms,d deletion of edges and vertices, and the query for property values relevant to the algorithm. The efficiency of a dynamic algorithm depends on the data structure used to implement it. This chapter provides a glimpse into this exciting area in graph analytics.