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BIPie: Fast Selection and Aggregation on Encoded Data using Operator Specialization

Summary: BIPie: fast selection and aggregation on encoded data via operator specialization, fusing decoding, filtering, and GROUP BY on MemSQL. Leverages SIMD and modern CPUs; 2–4× speedups vs TPC-H Q1, highlights decode/select/aggregate interdependence. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5553
Venue
SIGMOD
Year
2018
Pagerank
5.2155434e-05
Overall Rank
9,806 | 32.73%
DOI
10.1145/3183713.3190658

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{nowakiewicz_sigmod18,
        title = {{BIPie: Fast Selection and Aggregation on Encoded Data using Operator Specialization}},
        author = {Nowakiewicz, Michal and Boutin, Eric and Hanson, Eric and Walzer, Robert and Katipally, Akash},
        series = {{SIGMOD} '18},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3183713.3190658},
        url = {https://dl.acm.org/doi/10.1145/3183713.3190658},
        year = {2018}
}

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