Parallelizing Sequential Graph Computations
Summary: GRAPE parallelizes whole sequential graph algorithms with a simple partial-evaluation model; algorithms plug in with minor changes. Monotonic condition; MapReduce, BSP, PRAM can be simulated, with competitive performance vs. state-of-the-art graph systems. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Wenfei Fan (Beihang University; University of Edinburgh)
- 2. Jingbo Xu (Beihang University; University of Edinburgh)
- 3. Yinghui Wu (Washington State University)
- 4. Wenyuan Yu (Beihang University)
- 5. Jiaxin Jiang (Hong Kong Baptist University)
- 6. Zeyu Zheng (Peking University)
- 7. Bohan Zhang (Peking University)
- 8. Yang Cao (University of Edinburgh)
- 9. Chao Tian (Beihang University; University of Edinburgh)
BibTeX Citation
@inproceedings{fan_sigmod17,
title = {{Parallelizing Sequential Graph Computations}},
author = {Fan, Wenfei and Xu, Jingbo and Wu, Yinghui and Yu, Wenyuan and Jiang, Jiaxin and Zheng, Zeyu and Zhang, Bohan and Cao, Yang and Tian, Chao},
series = {{SIGMOD} '17},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3035918.3035942},
url = {https://dl.acm.org/doi/10.1145/3035918.3035942},
year = {2017}
}
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