Cache-oblivious High-performance Similarity Join
Summary: Cache-oblivious similarity join with a space-filling-curve order to boost data locality. Proposes the Fast General Form (FGF) Hilbert-curve: non-recursive, square-agnostic, constant-time per-iteration, enabling cache-oblivious, parallel refinement and operator portability. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Martin Perdacher (University of Vienna)
- 2. Claudia Plant (University of Vienna)
- 3. Christian Böhm (Ludwig Maximilian University of Munich)
BibTeX Citation
@inproceedings{perdacher_sigmod19,
title = {{Cache-oblivious High-performance Similarity Join}},
author = {Perdacher, Martin and Plant, Claudia and Böhm, Christian},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3319859},
url = {https://dl.acm.org/doi/10.1145/3299869.3319859},
year = {2019}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,052 | Fast Approximate Similarity Join in Vector Databases | 2025 | SIGMOD | 5.3251649e-05 |
| 9,634 | Fast and Exact Outlier Detection in Metric Spaces: A Proximity Graph-based Approach | 2021 | SIGMOD | 5.2434488e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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