Concurrent Analytical Query Processing with GPUs
Summary: Exposes severe GPU underutilization (≤25%) in single-query database execution. Introduces concurrent GPU query processing with query scheduling and device-memory swapping, improving throughput by up to 55% over dedicated execution. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Kaibo Wang (Ohio State University)
- 2. Kai Zhang (Ohio State University; University of Science and Technology Beijing)
- 3. Yuan Yuan (Ohio State University)
- 4. Siyuan Ma (Ohio State University)
- 5. Rubao Lee (Ohio State University)
- 6. Xiaoning Ding (New Jersey Institute of Technology)
- 7. Xiaodong Zhang (Ohio State University)
BibTeX Citation
@article{wang_vldb14,
title = {{Concurrent Analytical Query Processing with GPUs}},
author = {Wang, Kaibo and Zhang, Kai and Yuan, Yuan and Ma, Siyuan and Lee, Rubao and Ding, Xiaoning and Zhang, Xiaodong},
journal = {PVLDB},
series = {{VLDB} '14},
volume = {7},
number = {11},
pages = {1011--1022},
doi = {10.14778/2732967.2732976},
url = {https://doi.org/10.14778/2732967.2732976},
year = {2014}
}
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