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A GPU-friendly Geometric Data Model and Algebra for Spatial Queries

Summary: GPU-friendly geometric data model and algebra for spatial queries; data represented as geometric objects with composable GPU operators enabling broader GPU-accelerated spatial processing. Prototype supports a subset of operators, delivering orders-of-magnitude speedups over CPU and outperforming bespoke GPU approaches. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5989
Venue
SIGMOD
Year
2020
Pagerank
4.8892276e-05
Overall Rank
6,951 | 51.65%
DOI
10.1145/3318464.3389774

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