GraphD: Distributed Vertex-Centric Graph Processing Beyond the Memory Limit.

IEEE Transactions on Parallel and Distributed Systems(2018)

引用 40|浏览92
暂无评分
摘要
We propose GraphD, an out-of-core Pregel-like system targeting efficient big graph processing with a small cluster of commodity PCs connected by Gigabit Ethernet, an environment affordable to most users. This is in contrast to some recent efforts for out-of-core graph computation with specialized hardware. In our setting, a vertex-centric program is often data-intensive, since the CPU cost of calc...
更多
查看译文
关键词
Bandwidth,Venus,Chaos,Memory management,Business,Aggregates,Computational modeling
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要