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Hardware Acceleration in Commercial Databases: A Case Study of Spatial Operations

Summary: GPU-accelerated spatial operations integrated into a commercial DBMS; architecture enables end-to-end integration. Real-world GIS data show speedups, validating hardware-accelerated spatial query processing as production backend. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9312
Venue
VLDB
Year
2004
Pagerank
8.1851944e-05
Overall Rank
2,741 | 81.20%
DOI
10.1016/B978-012088469-8.50089-9

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{bandi_vldb04,
        title = {{Hardware Acceleration in Commercial Databases: A Case Study of Spatial Operations}},
        author = {Bandi, Nagender and Sun, Chengyu and Agrawal, Divyakant and Abbadi, Amr El},
        journal = {PVLDB},
        series = {{VLDB} '04},
        pages = {1021},
        doi = {10.1016/B978-012088469-8.50089-9},
        url = {https://doi.org/10.1016/B978-012088469-8.50089-9},
        year = {2004}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

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

Rank Cited Paper Year Venue Pagerank
522 Multi-Step Processing of Spatial Joins 1994 SIGMOD 0.00017133516
2,283 Hardware Acceleration for Spatial Selections and Joins 2003 SIGMOD 8.8099424e-05
3,170 A Raster Approximation for the Processing of Spatial Joins 1998 VLDB 7.6703896e-05
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