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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
9121
Venue
VLDB
Year
2004
Pagerank
8.1622784e-05
Overall Rank
2,761 | 80.80%
DOI
-

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

Rank Cited Paper Year Venue Pagerank
478 Multi-Step Processing of Spatial Joins 1994 SIGMOD 0.0002222104
2,278 Hardware Acceleration for Spatial Selections and Joins 2003 SIGMOD 9.1218781e-05
2,703 A Raster Approximation for the Processing of Spatial Joins 1998 VLDB 8.2722965e-05
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