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
- 2. Victor Fu
- 3. Apurva Gandhi
- 4. Advitya Gemawat
- 5. Lihao Zhang
- 6. Dong He
- 7. Vivek Gupta
- 8. Ehi Nosakhare
- 9. Dalitso Banda
- 10. Rathijit Sen
- 11. Matteo Interlandi
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,254 | Query Processing on Tensor Computation Runtimes | 2022 | VLDB | 7.3161051e-05 |
| 6,066 | GPU Database Systems Characterization and Optimization | 2024 | VLDB | 5.2290447e-05 |
| 6,327 | The Tensor Data Platform: Towards an AI-centric Database System | 2023 | CIDR | 5.1083405e-05 |
| 7,916 | Terabyte-Scale Analytics in the Blink of an Eye | 2026 | VLDB | 4.6173899e-05 |
| 7,920 | JoinBoost: Grow Trees Over Normalized Data Using Only SQL | 2023 | VLDB | 4.6163888e-05 |
| 8,279 | Galley: Modern Query Optimization for Sparse Tensor Programs | 2025 | SIGMOD | 4.5435639e-05 |
| 10,281 | GPU Acceleration of SQL Analytics on Compressed Data | 2026 | VLDB | 4.1945683e-05 |
| 10,749 | Scaling GPU-Accelerated Databases beyond GPU Memory Size | 2025 | VLDB | 4.1945683e-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 |
|---|---|---|---|---|
| 3,254 | Query Processing on Tensor Computation Runtimes | 2022 | VLDB | 7.3161051e-05 |
| 3,407 | End-to-end Optimization of Machine Learning Prediction Queries | 2022 | SIGMOD | 7.1295646e-05 |
| 3,875 | Cloudy with High Chance of DBMS: A 10-year Prediction for Enterprise-Grade ML | 2020 | CIDR | 6.675257e-05 |
| 4,701 | Tensors: An abstraction for general data processing | 2021 | VLDB | 5.9866564e-05 |
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