Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem
Summary: TQP compiles relational operators into tensor programs and runs on tensor runtimes like PyTorch. End-to-end acceleration of mixed relational-ML workloads across CPU, GPU, and browser backends, with TPC-H support and strong performance. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yuki Asada (Microsoft)
- 2. Victor Fu (Microsoft)
- 3. Apurva Gandhi (Microsoft)
- 4. Advitya Gemawat (Microsoft)
- 5. Lihao Zhang (Microsoft)
- 6. Dong He (University of Washington)
- 7. Vivek Gupta (Microsoft)
- 8. Ehi Nosakhare (Microsoft)
- 9. Dalitso Banda (Microsoft)
- 10. Rathijit Sen (Microsoft)
- 11. Matteo Interlandi (Microsoft)
BibTeX Citation
@article{asada_vldb22,
title = {{Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem}},
author = {Asada, Yuki and Fu, Victor and Gandhi, Apurva and Gemawat, Advitya and Zhang, Lihao and He, Dong and Gupta, Vivek and Nosakhare, Ehi and Banda, Dalitso and Sen, Rathijit and Interlandi, Matteo},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {12},
pages = {3598--3601},
doi = {10.14778/3554821.3554853},
url = {https://doi.org/10.14778/3554821.3554853},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,823 | Query Processing on Tensor Computation Runtimes | 2022 | VLDB | 8.0893814e-05 |
| 5,422 | GPU Database Systems Characterization and Optimization | 2024 | VLDB | 6.2245373e-05 |
| 5,953 | The Tensor Data Platform: Towards an AI-centric Database System | 2023 | CIDR | 6.0309873e-05 |
| 6,585 | JoinBoost: Grow Trees Over Normalized Data Using Only SQL | 2023 | VLDB | 5.8350362e-05 |
| 7,959 | Terabyte-Scale Analytics in the Blink of an Eye | 2026 | VLDB | 5.5181056e-05 |
| 8,513 | Galley: Modern Query Optimization for Sparse Tensor Programs | 2025 | SIGMOD | 5.4119882e-05 |
| 10,580 | GPU Acceleration of SQL Analytics on Compressed Data | 2026 | VLDB | 5.093636e-05 |
| 10,985 | Scaling GPU-Accelerated Databases beyond GPU Memory Size | 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 |
|---|---|---|---|---|
| 2,823 | Query Processing on Tensor Computation Runtimes | 2022 | VLDB | 8.0893814e-05 |
| 2,865 | End-to-end Optimization of Machine Learning Prediction Queries | 2022 | SIGMOD | 8.0180243e-05 |
| 3,614 | Cloudy with High Chance of DBMS: A 10-year Prediction for Enterprise-Grade ML | 2020 | CIDR | 7.2568185e-05 |
| 3,874 | Tensors: An abstraction for general data processing | 2021 | VLDB | 7.0561161e-05 |
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| 2 | 3,791 | Hardware-conscious Query Processing in GPU-accelerated Analytical Engines | 2019 | CIDR |
| 3 | 5,195 | Tensor Relational Algebra for Distributed Machine Learning System Design | 2021 | VLDB |
| 4 | 10,185 | A Backend-Agnostic Compiler for Approximate Query Processing with Probabilistic Tensor Algebra | 2026 | SIGMOD |
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