The Yin and Yang of Processing Data Warehousing Queries on GPU Devices
Summary: A three-dimensional study of warehousing queries across workloads, software, and GPU configurations, identifying the kernel-versus-data-transfer bottleneck. An analytical performance model and open-source engine guide production-grade GPU warehouse integration. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yuan Yuan (Ohio State University)
- 2. Rubao Lee (Ohio State University)
- 3. Xiaodong Zhang (Ohio State University)
BibTeX Citation
@article{yuan_vldb13,
title = {{The Yin and Yang of Processing Data Warehousing Queries on GPU Devices}},
author = {Yuan, Yuan and Lee, Rubao and Zhang, Xiaodong},
journal = {PVLDB},
series = {{VLDB} '13},
volume = {6},
number = {10},
pages = {817--828},
doi = {10.14778/2733004.2733006},
url = {https://doi.org/10.14778/2733004.2733006},
year = {2013}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 53 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,985 | Scaling GPU-Accelerated Databases beyond GPU Memory Size | 2025 | VLDB | 5.093636e-05 |
| 11,224 | X-TED: Massive Parallelization of Tree Edit Distance | 2024 | VLDB | 5.093636e-05 |
| 11,332 | High-Performance Spatial Data Analytics: Systematic R&D for Scale-Out and Scale-Up Solutions from the Past to Now | 2024 | VLDB | 5.093636e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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