A Study of Partitioning Policies for Graph Analytics on Large-scale Distributed Platforms
Summary: Empirical study of graph partitioning for work-efficient analytics on large clusters up to 256 machines with Gluon. CVC outperforms Edge-Cut at scale despite higher replication, due to favorable communication patterns; supports multiple strategies and a simple decision tree. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Gurbinder Gill
- 2. Roshan Dathathri
- 3. Loc Hoang
- 4. Keshav Pingali
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,525 | Single Machine Graph Analytics on Massive Datasets Using Intel Optane DC Persistent Memory | 2020 | VLDB | 7.0080401e-05 |
| 9,596 | Scalable Graph Convolutional Network Training on Distributed-Memory Systems | 2023 | VLDB | 4.319218e-05 |
| 10,199 | R2O: A Dual-Layer Framework for Joint Rewriting and Ordering in Distributed Property Graph Query Optimization | 2026 | SIGMOD | 4.1945683e-05 |
| 10,647 | Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental Study | 2025 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4 | Pregel: A System for Large-Scale Graph Processing | 2010 | SIGMOD | 0.0019005923 |
| 396 | One Trillion Edges: Graph Processing at Facebook-Scale | 2015 | VLDB | 0.00024424102 |
| 1,968 | An Experimental Comparison of Partitioning Strategies in Distributed Graph Processing | 2017 | VLDB | 9.9071968e-05 |
| 2,494 | Streaming Graph Partitioning: An Experimental Study | 2018 | VLDB | 8.6508229e-05 |
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