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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)

Paper ID
hbec02422d10e3a3c
Venue
SIGMOD
Year
2019
Pagerank
5.4962229e-05
Overall Rank
7,560 | 49.18%
DOI
10.1145/3299869.3319859

Incoming Non-self Citations Over Time

Authors

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 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
8,408 Fast Approximate Similarity Join in Vector Databases 2025 SIGMOD 5.336718e-05
9,811 Fast and Exact Outlier Detection in Metric Spaces: A Proximity Graph-based Approach 2021 SIGMOD 5.1257999e-05
11,028 Advances of Query Processing in Vector Databases 2026 VLDB 4.9793485e-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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