GPU-Accelerated Subgraph Enumeration on Partitioned Graphs
Summary: GPU-based subgraph enumeration scales beyond GPU memory by partitioning graphs into chunks processed sequentially. To avoid cross-partition redundancy and PCIe transfers, this work uses a shared execution model to yield correct global instances. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Wentian Guo (National University of Singapore)
- 2. Yuchen Li (Singapore Management University)
- 3. Mo Sha (National University of Singapore)
- 4. Bingsheng He (National University of Singapore)
- 5. Xiaokui Xiao (National University of Singapore)
- 6. Kian-Lee Tan (National University of Singapore)
BibTeX Citation
@inproceedings{guo_sigmod20,
title = {{GPU-Accelerated Subgraph Enumeration on Partitioned Graphs}},
author = {Guo, Wentian and Li, Yuchen and Sha, Mo and He, Bingsheng and Xiao, Xiaokui and Tan, Kian-Lee},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3389699},
url = {https://dl.acm.org/doi/10.1145/3318464.3389699},
year = {2020}
}
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