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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| Main Authors: | , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2020
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| Subjects: | |
| 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 |