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ParTime: Parallel Temporal Aggregation

Summary: ParTime: data-parallel temporal aggregation on NUMA. Supports bi-temporal data, requires no precomputation/indexing, and exploits shared computation; experiments (airline, TPC-BiH) show gains over prior temporal DBs and competitiveness with Timeline Index. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5253
Venue
SIGMOD
Year
2016
Pagerank
5.4568273e-05
Overall Rank
8,306 | 43.02%
DOI
10.1145/2882903.2903732

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{pilman_sigmod16,
        title = {{ParTime: Parallel Temporal Aggregation}},
        author = {Pilman, Markus and Kaufmann, Martin and Köhl, Florian and Kossmann, Donald and Profeta, Damien},
        series = {{SIGMOD} '16},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2882903.2903732},
        url = {https://dl.acm.org/doi/10.1145/2882903.2903732},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

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Rank Citing Paper Year Venue Pagerank
6,657 Snapshot Semantics for Temporal Multiset Relations 2019 VLDB 5.8110609e-05
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Outgoing Citations (Sorted by Pagerank)

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

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