Query Processing on Tensor Computation Runtimes
Summary: SQL-to-tensor programs via Tensor Query Processor (TQP) on tensor computation runtimes (TCRs). Relational operators mapped to tensor primitives enable full TPC-H execution across hardware; up to 10x faster than CPU/GPU baselines, and 9x for ML-augmented queries. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Dong He (University of Washington)
- 2. Supun C Nakandala (University of California San Diego)
- 3. Dalitso Banda (Microsoft)
- 4. Rathijit Sen (Microsoft)
- 5. Karla Saur (Microsoft)
- 6. Kwanghyun Park (Microsoft)
- 7. Carlo Curino (Microsoft)
- 8. Jesús Camacho-Rodríguez (Microsoft)
- 9. Konstantinos Karanasos (Meta)
- 10. Matteo Interlandi (Microsoft)
BibTeX Citation
@article{he_vldb22,
title = {{Query Processing on Tensor Computation Runtimes}},
author = {He, Dong and Nakandala, Supun C and Banda, Dalitso and Sen, Rathijit and Saur, Karla and Park, Kwanghyun and Curino, Carlo and Camacho-Rodríguez, Jesús and Karanasos, Konstantinos and Interlandi, Matteo},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {11},
pages = {2811--2825},
doi = {10.14778/3551793.3551833},
url = {https://doi.org/10.14778/3551793.3551833},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
Showing 32 of 32 citing papers.
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 49 of 49 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 10,801 | PystachIO: Efficient Distributed GPU Query Processing with PyTorch over Fast Networks & Fast Storage | 2026 | VLDB |
| 2 | 9,863 | GPU Acceleration of SQL Analytics on Compressed Data | 2026 | VLDB |
| 3 | 10,401 | A Backend-Agnostic Compiler for Approximate Query Processing with Probabilistic Tensor Algebra | 2026 | SIGMOD |
| 4 | 3,972 | TCUDB: Accelerating Database with Tensor Processors | 2022 | SIGMOD |
| 5 | 10,251 | TenGraph: A Tensor-Based Graph Query Engine | 2024 | VLDB |
| 6 | 10,923 | TQP++: Bridging ML Compilers and Analytical Query Processing on GPUs | 2026 | VLDB |
| 7 | 3,953 | Tensors: An abstraction for general data processing | 2021 | VLDB |
| 8 | 5,776 | The Tensor Data Platform: Towards an AI-centric Database System | 2023 | CIDR |
| 9 | 10,601 | TQEx: Tensor-based Query Engine Enhanced by Bridging the Gap | 2026 | SIGMOD |
| 10 | 10,020 | Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem | 2022 | VLDB |