Graphh: High performance big graph analytics in small clusters

P Sun, Y Wen, TNB Duong… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
It is common for real-world applications to analyze big graphs using distributed graph
processing systems. Popular in-memory systems require an enormous amount of resources …
被引用次数：10 相关文章

GraphH: High performance big graph analytics in small clusters

P SUN, Y WEN, NBD TA, X XIAO - 2017 - ink.library.smu.edu.sg
It is common for real-world applications to analyze big graphs using distributed graph
processing systems. Popular in-memory systems require an enormous amount of resources …

GraphH: High Performance Big Graph Analytics in Small Clusters

P Sun, Y Wen, TNB Duong, X Xiao - arXiv preprint arXiv:1705.05595, 2017 - arxiv.org
It is common for real-world applications to analyze big graphs using distributed graph
processing systems. Popular in-memory systems require an enormous amount of resources …

GraphH: High Performance Big Graph Analytics in Small Clusters

P Sun, Y Wen, T Nguyen Binh Duong, X Xiao - arXiv e-prints, 2017 - ui.adsabs.harvard.edu
It is common for real-world applications to analyze big graphs using distributed graph
processing systems. Popular in-memory systems require an enormous amount of resources …
[PDF] smu.edu.sg

[PDF][PDF] GraphH: High performance big graph analytics in small clusters.(2017)

P SUN, Y WEN, NBD TA, X XIAO - Proceedings of the 2017 IEEE … - ink.library.smu.edu.sg
It is common for real-world applications to analyze big graphs using distributed graph
processing systems. Popular in-memory systems require an enormous amount of resources …