Sphinx: A Succinct Perfect Hash Index for x86
Summary: Sphinx reengineers succinct perfect hashing for x86, combining rank/select-friendly encoding with metadata for near-instant common-slot decoding. Its expandable, parallel design halves query/update latency and memory versus prior ~4-bit-per-key indexes. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sajad Faghfoor Maghrebi (University of Toronto)
- 2. Niv Dayan (University of Toronto)
BibTeX Citation
@article{maghrebi_vldb25,
title = {{Sphinx: A Succinct Perfect Hash Index for x86}},
author = {Maghrebi, Sajad Faghfoor and Dayan, Niv},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {11},
pages = {4424--4437},
doi = {10.14778/3749646.3749703},
url = {https://doi.org/10.14778/3749646.3749703},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,441 | Dynamic Flat Filter: A Unified Framework for Scalable and Stable Fingerprint-Based Filters | 2026 | SIGMOD | 4.9793485e-05 |
| 10,518 | Zeno Filter: To Infinity in Tiny Steps | 2026 | SIGMOD | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 22 of 22 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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