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PimPam: Efficient Graph Pattern Matching on Real Processing-in-Memory Hardware

Summary: PimPam maps graph pattern matching onto real commercial PIM hardware, attacking the memory-wall bottleneck with bandwidth-rich near-data execution. Key ideas: load-aware tasking, parallel partitioning, adaptive threading, and dynamic bitmaps for set intersection; 22.5x avg speedup over CPU baselines. (summarized by gpt-5.4-mini on May 24 2026)

Paper ID
6987
Venue
SIGMOD
Year
2024
Pagerank
5.7120928e-05
Overall Rank
7,067 | 51.52%
DOI
10.1145/3654964

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{cai_sigmod24,
        title = {{PimPam: Efficient Graph Pattern Matching on Real Processing-in-Memory Hardware}},
        author = {Cai, Shuangyu and Tian, Boyu and Zhang, Huanchen and Gao, Mingyu},
        series = {{SIGMOD} '24},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3654964},
        url = {https://dl.acm.org/doi/10.1145/3654964},
        year = {2024}
}

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