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A Scalable and Generic Approach to Range Joins

Summary: Introduces a fully parallel, kd-tree-based multidimensional range join supporting broad non-equi predicates alongside equality constraints. Integrated in Umbra, it delivers scalable, low-memory execution and outperforms competing systems on real and synthetic workloads. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12972
Venue
VLDB
Year
2022
Pagerank
5.6727648e-05
Overall Rank
7,207 | 50.56%
DOI
10.14778/3551793.3551849

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{reif_vldb22,
        title = {{A Scalable and Generic Approach to Range Joins}},
        author = {Reif, Maximilian and Neumann, Thomas},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {11},
        pages = {3018--3030},
        doi = {10.14778/3551793.3551849},
        url = {https://doi.org/10.14778/3551793.3551849},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
3,622 Robust Join Processing with Diamond Hardened Joins 2024 VLDB 7.2465862e-05
5,321 High-Performance Row Pattern Recognition Using Joins 2023 VLDB 6.2659937e-05
6,957 Design and Analysis of a Processing-in-DIMM Join Algorithm: A Case Study with UPMEM DIMMs 2023 SIGMOD 5.7303405e-05
10,674 Parallel kd-tree with Batch Updates 2025 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

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

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