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Fast Matrix Multiplication for Query Processing

Summary: Leverages fast matrix multiplication to speed query processing; two-table join+project maps to Boolean matrix mult. Then generalizes to join-project queries, yielding polynomial gains over Yannakakis and first improvement for acyclic cases since 1981. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
1961
Venue
PODS
Year
2024
Pagerank
5.7464502e-05
Overall Rank
6,885 | 52.77%
DOI
10.1145/3651599

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{hu_pods24,
        address = {New York, NY, USA},
        series = {{PODS} '24},
        title = {{Fast Matrix Multiplication for Query Processing}},
        url = {https://dl.acm.org/doi/10.1145/3651599},
        doi = {10.1145/3651599},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Hu, Xiao},
        year = {2024}
}

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