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Octopus: Efficient Hypergraph Pattern Mining with Practical Processing-in-Memory Architecture

Summary: Octopus is the first full-stack HPM accelerator co-designed for practical UPMEM PIM. Its inter-DPU partitioning/load balancing and intra-DPU asynchronous candidate mining exploit massive parallelism, delivering up to 55.4× speedup over the best CPU/GPU systems. (summarized by gpt-5.6-luna on Jul 26 2026)

Paper ID
7467
Venue
SIGMOD
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,275 | 29.51%
DOI
10.1145/3802094

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BibTeX Citation

@inproceedings{zhang_sigmod26,
        title = {{Octopus: Efficient Hypergraph Pattern Mining with Practical Processing-in-Memory Architecture}},
        author = {Zhang, Yi and Chen, Deting and Huang, Yu and Liu, Chaoqiang and Liu, Haifeng and Yue, Jianhui and Liao, Xiaofei and Jin, Hai},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3802094},
        url = {https://dl.acm.org/doi/10.1145/3802094},
        year = {2026}
}

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