Terabyte-Scale Analytics in the Blink of an Eye
Summary: Prototype GPU-cluster SQL engine applying ML/HPC practices (group communication, high-bandwidth memory, fast interconnects) to bound achievable speedups for distributed analytics. Shows a realistic >60× improvement, running all 22 TPC-H queries at 1TB almost instantaneously. (summarized by gpt-5-mini on Mar 13 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Bowen Wu (ETH Zurich)
- 2. Wei Cui (Microsoft)
- 3. Carlo Curino (Microsoft)
- 4. Matteo Interlandi (Microsoft)
- 5. Rathijit Sen (Microsoft)
BibTeX Citation
@article{wu_vldb26,
title = {{Terabyte-Scale Analytics in the Blink of an Eye}},
author = {Wu, Bowen and Cui, Wei and Curino, Carlo and Interlandi, Matteo and Sen, Rathijit},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {2},
pages = {141--155},
doi = {10.14778/3773749.3773754},
url = {https://doi.org/10.14778/3773749.3773754},
year = {2026}
}
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,863 | GPU Acceleration of SQL Analytics on Compressed Data | 2026 | VLDB | 5.1176637e-05 |
| 9,906 | High-Performance DBMSs with io_uring: When and How to Use It | 2026 | VLDB | 5.1103839e-05 |
| 10,345 | Data Movement-Aware GPU Sharing for Data-Intensive Systems | 2026 | CIDR | 4.9793485e-05 |
| 10,347 | Cloudspecs: Cloud Hardware Evolution Through the Looking Glass | 2026 | CIDR | 4.9793485e-05 |
| 10,785 | MGI: A Communication Framework for Data Processing in Massive GPU Infrastructures | 2026 | VLDB | 4.9793485e-05 |
| 10,801 | PystachIO: Efficient Distributed GPU Query Processing with PyTorch over Fast Networks & Fast Storage | 2026 | VLDB | 4.9793485e-05 |
| 10,923 | TQP++: Bridging ML Compilers and Analytical Query Processing on GPUs | 2026 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 38 of 38 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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|---|---|---|---|---|
| 1 | 6,516 | GPU-accelerated data management under the test of time | 2020 | CIDR |
| 2 | 9,863 | GPU Acceleration of SQL Analytics on Compressed Data | 2026 | VLDB |
| 3 | 1,541 | HippogriffDB: Balancing I/O and GPU Bandwidth in Big Data Analytics | 2016 | VLDB |
| 4 | 2,284 | Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects | 2020 | SIGMOD |
| 5 | 1,268 | A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics | 2020 | SIGMOD |
| 6 | 10,723 | Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization | 2026 | VLDB |
| 7 | 6,057 | Towards Energy-Efficient Database Cluster Design | 2012 | VLDB |
| 8 | 1,028 | High-Speed Query Processing over High-Speed Networks | 2016 | VLDB |
| 9 | 4,480 | GPU Database Systems Characterization and Optimization | 2024 | VLDB |
| 10 | 8,274 | Scaling GPU-Accelerated Databases beyond GPU Memory Size | 2025 | VLDB |