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)
Incoming Non-self Citations Over Time
Authors
- 1. Harish Doraiswamy (New York University)
- 2. Juliana Freire (New York University)
BibTeX Citation
@inproceedings{doraiswamy_sigmod20,
title = {{A GPU-friendly Geometric Data Model and Algebra for Spatial Queries}},
author = {Doraiswamy, Harish and Freire, Juliana},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3389774},
url = {https://dl.acm.org/doi/10.1145/3318464.3389774},
year = {2020}
}Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,603 | The Art of Balance: A RateupDB Experience of Building a CPU/GPU Hybrid Database Product | 2021 | VLDB | 6.6105578e-05 |
| 5,422 | GPU Database Systems Characterization and Optimization | 2024 | VLDB | 6.2245373e-05 |
| 8,614 | The Case for Distance-Bounded Spatial Approximations | 2021 | CIDR | 5.4012875e-05 |
| 9,544 | SwiftSpatial: Spatial Joins on Modern Hardware | 2025 | SIGMOD | 5.2528121e-05 |
| 10,876 | BLAEQ: A Multigrid Index for Spatial Query on Geometry Data | 2025 | VLDB | 5.093636e-05 |
| 11,088 | RDPro: Distributed Processing of Big Raster Data | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,125 | Optimization Strategies for Spatial Query Processing | 1991 | VLDB | 0.0001208101 |
| 2,732 | How Good Are Modern Spatial Analytics Systems? | 2018 | VLDB | 8.1934602e-05 |
| 5,709 | GPU Rasterization for Real-Time Spatial Aggregation over Arbitrary Polygons | 2018 | VLDB | 6.1142154e-05 |
| 5,879 | IBM DB2 Spatial Extender - Spatial data within the RDBMS | 2001 | VLDB | 6.0536271e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 96 | Spatial Query Processing in an Object-Oriented Database System | 1986 | SIGMOD |
| 2 | 2,732 | How Good Are Modern Spatial Analytics Systems? | 2018 | VLDB |
| 3 | 8,487 | A Case for Graphics-driven Query Processing | 2023 | VLDB |
| 4 | 1,441 | Efficient Processing of Top-k Spatial Preference Queries | 2011 | VLDB |
| 5 | 1,452 | Fast Computation of Database Operations using Graphics Processors | 2004 | SIGMOD |
| 6 | 2,741 | Hardware Acceleration in Commercial Databases: A Case Study of Spatial Operations | 2004 | VLDB |
| 7 | 7,113 | GPUQP: Query Co-Processing Using Graphics Processors | 2007 | SIGMOD |
| 8 | 10,876 | BLAEQ: A Multigrid Index for Spatial Query on Geometry Data | 2025 | VLDB |
| 9 | 2,283 | Hardware Acceleration for Spatial Selections and Joins | 2003 | SIGMOD |
| 10 | 5,709 | GPU Rasterization for Real-Time Spatial Aggregation over Arbitrary Polygons | 2018 | VLDB |