Meep Hashing: Ultrafast and Compact Minimal Perfect Hashing for Practical Large-Scale Lookup Systems
Summary: Meep Hashing combines Cuckoo and probing schemes with low-overhead four-way collision resolution and integrated, tunable alien-key filtering. It delivers compact MPH space with 50–200% higher speed, exceeding 7B queries/s under Zipfian workloads. (summarized by gpt-5.6-luna on Jul 26 2026)
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Authors
- 1. Shouqian Shi (Nanjing University)
- 2. Diancheng Luo (Nanjing University)
- 3. Jacques Liao (Google)
- 4. Yi Liu (University of California Santa Cruz)
- 5. Xingsheng Zhao (Google)
- 6. Matthew Fahrbach (Google)
- 7. Chen Qian (University of California Santa Cruz)
BibTeX Citation
@inproceedings{shi_sigmod26,
title = {{Meep Hashing: Ultrafast and Compact Minimal Perfect Hashing for Practical Large-Scale Lookup Systems}},
author = {Shi, Shouqian and Luo, Diancheng and Liao, Jacques and Liu, Yi and Zhao, Xingsheng and Fahrbach, Matthew and Qian, Chen},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3802087},
url = {https://dl.acm.org/doi/10.1145/3802087},
year = {2026}
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 789 | Don't Thrash: How to Cache Your Hash on Flash | 2012 | VLDB | 0.0001401724 |
| 3,798 | Vector Quotient Filters: Overcoming the Time/Space Trade-Off in Filter Design | 2021 | SIGMOD | 7.1165678e-05 |
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