GraPU: Accelerate Streaming Graph Analysis through Preprocessing Buffered Updates - 源码 - 源码 - 免费下载

GraPU: Accelerate Streaming Graph Analysis through Preprocessing Buffered Updates

文件大小： 2432k

源码售价： 10 个金币积分规则积分充值

资源说明：Streaming graph analysis extracts timely insights from evolving graphs, and has gained increasing popularity. For current streaming graph analytics systems, incoming updates are simply cached in a buffer, until being applied onto existing graph structure to construct a new snapshot. Iterative graph algorithms then work on the new snapshot to produce up-to-date analysis result. Nevertheless, we find that for widely used monotonic graph algorithms, the buffered updates can be effectively preproces

部分文件列表（点击文件名可查看文件内容）

					
									本源码包内暂不包含可直接显示的源代码文件，请下载源码包。