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
- 2. Jingbo Xu
- 3. Yinghui Wu
- 4. Wenyuan Yu
- 5. Jiaxin Jiang
- 6. Zeyu Zheng
- 7. Bohan Zhang
- 8. Yang Cao
- 9. Chao Tian
Incoming Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| 6,105 | GRAPE: Parallelizing Sequential Graph Computations | 2017 | VLDB | 5.2078702e-05 |