Scaling GPU-Accelerated Databases beyond GPU Memory Size
Summary: Hybrid CPU–GPU query processing scales beyond GPU memory: CPU-side filtering minimizes PCIe transfers, while GPUs execute joins and other compute-intensive operators. Handles 1TB TPC-H (SF1000) on one 80GB A100, outperforming CPU-only systems in speed and cost. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Yinan Li (Microsoft)
- 2. Bailu Ding (Microsoft)
- 3. Ziyun Wei (Cornell University)
- 4. Lukas M. Maas (Microsoft)
- 5. Momin Al-Ghosien (Microsoft)
- 6. Spyros Blanas (Ohio State University)
- 7. Nicolas Bruno (Microsoft)
- 8. Carlo Curino (Microsoft)
- 9. Matteo Interlandi (Microsoft)
- 10. Craig Peeper (Microsoft)
- 11. Kaushik Rajan (Microsoft)
- 12. Surajit Chaudhuri (Microsoft)
- 13. Johannes Gehrke (Microsoft)
BibTeX Citation
@article{li_vldb25,
title = {{Scaling GPU-Accelerated Databases beyond GPU Memory Size}},
author = {Li, Yinan and Ding, Bailu and Wei, Ziyun and Maas, Lukas M. and Al-Ghosien, Momin and Blanas, Spyros and Bruno, Nicolas and Curino, Carlo and Interlandi, Matteo and Peeper, Craig and Rajan, Kaushik and Chaudhuri, Surajit and Gehrke, Johannes},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {11},
pages = {4518--4531},
doi = {10.14778/3749646.3749710},
url = {https://doi.org/10.14778/3749646.3749710},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,959 | Terabyte-Scale Analytics in the Blink of an Eye | 2026 | VLDB | 5.5181056e-05 |
| 10,135 | I Can't Believe It's Not Yannakakis: Pragmatic Bitmap Filters in Microsoft SQL Server | 2026 | CIDR | 5.093636e-05 |
| 10,541 | Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization | 2026 | VLDB | 5.093636e-05 |
| 10,580 | GPU Acceleration of SQL Analytics on Compressed Data | 2026 | VLDB | 5.093636e-05 |
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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