RT-RkNN: Reverse k Nearest Neighbor Queries as a Graphics Ray Casting Problem
Summary: Recasts 2D reverse kNN as graphics ray casting, modeling users as rays and facilities as geometric primitives rather than relying on R-tree pruning. A GPU implementation exploiting dedicated ray-tracing cores remains effective for large k, dense users, and sparse facilities. (summarized by gpt-5.6-luna on Aug 17 2026)
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Authors
- 1. Zhengyang Bai (RIKEN Center for Computational Science)
- 2. Peng Chen (RIKEN Center for Computational Science)
- 3. Mohamed Wahib (RIKEN Center for Computational Science)
BibTeX Citation
@article{bai_vldb26,
title = {{RT-RkNN: Reverse k Nearest Neighbor Queries as a Graphics Ray Casting Problem}},
author = {Bai, Zhengyang and Chen, Peng and Wahib, Mohamed},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {9},
pages = {1963--1976},
doi = {10.14778/3819518.3819527},
url = {https://doi.org/10.14778/3819518.3819527},
year = {2026}
}
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