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)
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