BLAEQ: A Multigrid Index for Spatial Query on Geometry Data
Summary: BLAEQ recasts a spatial index tree as vector layers and matrix connectors, enabling GPU-friendly multigrid traversal. Built entirely from BLAS/CuBLAS primitives, it accelerates geometry-data spatial queries beyond state-of-the-art methods. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Song Wang (Tsinghua University; Wuhan University)
- 2. Chen Wang (Tsinghua University)
- 3. Jianchun Wang (China Ship Scientific Research Center)
- 4. Shengguo Li (National University of Defense Technology)
- 5. Rui Li (Tsinghua University)
- 6. Zhiyong Peng (Wuhan University)
BibTeX Citation
@article{wang_vldb25,
title = {{BLAEQ: A Multigrid Index for Spatial Query on Geometry Data}},
author = {Wang, Song and Wang, Chen and Wang, Jianchun and Li, Shengguo and Li, Rui and Peng, Zhiyong},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {8},
pages = {2533--2546},
doi = {10.14778/3742728.3742746},
url = {https://doi.org/10.14778/3742728.3742746},
year = {2025}
}
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