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A Scalable and Generic Approach to Range Joins

Summary: kd-tree-based, multi-dimensional range join for broad non-equi queries with equality predicates; negligible memory overhead. Fully parallel build and probe, scalable to large data and cores; integrated in Umbra; outperforms Spark and other DB systems. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12785
Venue
VLDB
Year
2022
Pagerank
4.7846107e-05
Overall Rank
7,247 | 49.64%
DOI
10.14778/3551793.3551849

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
4,466 Robust Join Processing with Diamond Hardened Joins 2024 VLDB 6.1545841e-05
5,049 High-Performance Row Pattern Recognition Using Joins 2023 VLDB 5.7275467e-05
9,143 Design and Analysis of a Processing-in-DIMM Join Algorithm: A Case Study with UPMEM DIMMs 2023 SIGMOD 4.381112e-05
10,398 Parallel kd-tree with Batch Updates 2025 SIGMOD 4.1905499e-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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