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Vector Quotient Filters: Overcoming the Time/Space Trade-Off in Filter Design

Summary: Vector Quotient Filter (VQF) uses power-of-two-choices hashing and SIMD for O(1) cost, stable across loads. Inserts ~2x Morton; lookups/deletes on par with cuckoo; thread-safe variant enables ~3x insertion throughput with four threads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6183
Venue
SIGMOD
Year
2021
Pagerank
7.1165678e-05
Overall Rank
3,798 | 73.95%
DOI
10.1145/3448016.3452841

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{pandey_sigmod21,
        title = {{Vector Quotient Filters: Overcoming the Time/Space Trade-Off in Filter Design}},
        author = {Pandey, Prashant and Conway, Alex and Durie, Joe and Bender, Michael A. and Farach-Colton, Martin and Johnson, Rob},
        series = {{SIGMOD} '21},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3448016.3452841},
        url = {https://dl.acm.org/doi/10.1145/3448016.3452841},
        year = {2021}
}

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