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 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,119 | Data Movement-Aware GPU Sharing for Data-Intensive Systems | 2026 | CIDR | 5.093636e-05 |
| 10,123 | Cloudspecs: Cloud Hardware Evolution Through the Looking Glass | 2026 | CIDR | 5.093636e-05 |
| 10,580 | GPU Acceleration of SQL Analytics on Compressed Data | 2026 | VLDB | 5.093636e-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 | 6,835 | GPU-accelerated data management under the test of time | 2020 | CIDR |
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| 4 | 2,566 | Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects | 2020 | SIGMOD |
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