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Parallel Algorithms for Constructing Range and Nearest-Neighbor Searching Data Structures

Summary: Provably-efficient MPC/MapReduce algorithms to build and query kd-trees, range trees, and BBD-trees for range and approximate nearest-neighbor search. O(1) communication rounds for preprocessing and querying, competitive runtimes/workloads; randomized with deterministic variants at modest extra cost. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1698
Venue
PODS
Year
2016
Pagerank
6.5225987e-05
Overall Rank
4,021 | 72.03%
DOI
10.1145/2902251.2902303

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