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Improving the Performance of List Intersection

Summary: Optimizes list-intersection for arbitrary k lists on modern hardware: Dynamic Probes (runtime adaptive probing) and Quantile-based (precomputed order) for sorted lists; unsorted lists use a hash-based method. Empirical evaluation on eight-core CMPs with real and synthetic data demonstrates practical speedups for data-management workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10168
Venue
VLDB
Year
2009
Pagerank
9.9327227e-05
Overall Rank
1,717 | 88.23%
DOI
10.14778/1687627.1687722

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{tsirogiannis_vldb09,
        title = {{Improving the Performance of List Intersection}},
        author = {Tsirogiannis, Dimitris and Guha, Sudipto and Koudas, Nick},
        journal = {PVLDB},
        series = {{VLDB} '09},
        doi = {10.14778/1687627.1687722},
        url = {https://doi.org/10.14778/1687627.1687722},
        year = {2009}
}

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