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Scalable Reservoir Sampling on Many-Core CPUs

Summary: Online scalable reservoir sampling for maintaining fresh statistics on many-core CPUs. A single global reservoir with a work-sharing scheme distributes sampling tasks to threads, avoiding disk I/O and stale samples, boosting cardinality estimates. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5689
Venue
SIGMOD
Year
2019
Pagerank
6.502434e-05
Overall Rank
4,800 | 67.07%
DOI
10.1145/3299869.3300096

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{birler_sigmod19,
        title = {{Scalable Reservoir Sampling on Many-Core CPUs}},
        author = {Birler, Altan},
        series = {{SIGMOD} '19},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3299869.3300096},
        url = {https://dl.acm.org/doi/10.1145/3299869.3300096},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
422 Umbra: A Disk-Based System with In-Memory Performance 2020 CIDR 0.00018732744
10,591 Vodka: Rethink Benchmarking Philosophy in HTAP Systems 2026 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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