GraphMP: I/O-Efficient big graph analytics on a single commodity machine

GraphMP: I/O-Efficient big graph analytics on a single commodity machine

Recent studies showed that single-machine graph processing systems can be as highly competitive as cluster-based approaches on large-scale problems. While several out-of-core graph processing systems and computation models have been proposed, the high disk I/O overhead could significantly reduce per...

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Bibliographic Details
Main Authors: SUN, Peng, WEN, Yonggang, TA, Nguyen Binh Duong, XIAO, Xiaokui
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2020
Subjects:
Graph Processing
Big Data
Parallel Computing
Vertex-Centric Programming Model
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/4847
https://ink.library.smu.edu.sg/context/sis_research/article/5850/viewcontent/GraphMP__PV.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/4847
https://ink.library.smu.edu.sg/context/sis_research/article/5850/viewcontent/GraphMP__PV.pdf

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