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)
Incoming Non-self Citations Over Time
Authors
- 1. Nagender Bandi (University of California Santa Barbara)
- 2. Chengyu Sun (California State University, Los Angeles)
- 3. Divyakant Agrawal (University of California Santa Barbara)
- 4. Amr El Abbadi (University of California Santa Barbara)
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)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 304 | GPUTeraSort: High Performance Graphics Co-processor Sorting for Large Database Management | 2006 | SIGMOD | 0.00021604795 |
| 616 | Relational Joins on Graphics Processors | 2008 | SIGMOD | 0.00015561564 |
| 771 | The Yin and Yang of Processing Data Warehousing Queries on GPU Devices | 2013 | VLDB | 0.00014085862 |
| 2,185 | Database Compression on Graphics Processors | 2010 | VLDB | 8.8948351e-05 |
| 2,466 | Concurrent Analytical Query Processing with GPUs | 2014 | VLDB | 8.4222621e-05 |
| 2,889 | High-Throughput Transaction Executions on Graphics Processors | 2011 | VLDB | 7.9070124e-05 |
| 4,137 | The Art of Balance: A RateupDB Experience of Building a CPU/GPU Hybrid Database Product | 2021 | VLDB | 6.7861661e-05 |
| 5,327 | Fast and Approximate Stream Mining of Quantiles and Frequencies Using Graphics Processors | 2005 | SIGMOD | 6.1783009e-05 |
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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 |
|---|---|---|---|---|
| 527 | Multi-Step Processing of Spatial Joins | 1994 | SIGMOD | 0.00016880616 |
| 2,319 | Hardware Acceleration for Spatial Selections and Joins | 2003 | SIGMOD | 8.6460188e-05 |
| 3,221 | A Raster Approximation for the Processing of Spatial Joins | 1998 | VLDB | 7.5149339e-05 |
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Semantically Similar Papers
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|---|---|---|---|---|
| 1 | 101 | Spatial Query Processing in an Object-Oriented Database System | 1986 | SIGMOD |
| 2 | 8,595 | A Case for Graphics-driven Query Processing | 2023 | VLDB |
| 3 | 2,466 | Concurrent Analytical Query Processing with GPUs | 2014 | VLDB |
| 4 | 6,231 | A GPU-friendly Geometric Data Model and Algebra for Spatial Queries | 2020 | SIGMOD |
| 5 | 3,773 | Hardware-conscious Query Processing in GPU-accelerated Analytical Engines | 2019 | CIDR |
| 6 | 8,804 | SwiftSpatial: Spatial Joins on Modern Hardware | 2025 | SIGMOD |
| 7 | 5,394 | Towards a Hybrid Design for Fast Query Processing in DB2 with BLU Acceleration Using Graphical Processing Units: A Technology Demonstration | 2016 | SIGMOD |
| 8 | 1,454 | Fast Computation of Database Operations using Graphics Processors | 2004 | SIGMOD |
| 9 | 11,023 | Hardware Acceleration for Spatial Databases: Building Next-Generation Query Engines Using Ray Tracing Cores | 2026 | VLDB |
| 10 | 2,319 | Hardware Acceleration for Spatial Selections and Joins | 2003 | SIGMOD |