Efficient Join Algorithms For Large Database Tables in a Multi-GPU Environment
Summary: Multi-GPU join algorithms for very large tables; three designs: nested-loop, global-sort-merge, hybrid. Addresses CPU–GPU data-transfer bottlenecks; shows scalability and up to 25× vs multi-core CPU and 2.8× vs single-GPU. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ran Rui (University of South Florida)
- 2. Hao Li (University of South Florida)
- 3. Yi-Cheng Tu (University of South Florida)
BibTeX Citation
@article{rui_vldb21,
title = {{Efficient Join Algorithms For Large Database Tables in a Multi-GPU Environment}},
author = {Rui, Ran and Li, Hao and Tu, Yi-Cheng},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {4},
pages = {708--720},
doi = {10.14778/3436905.3436927},
url = {https://doi.org/10.14778/3436905.3436927},
year = {2021}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 209 | Sort vs. Hash Revisited: Fast Join Implementation on Modern Multi-Core CPUs | 2009 | VLDB | 0.00024932174 |
| 252 | Multi-Core, Main-Memory Joins: Sort vs. Hash Revisited | 2014 | VLDB | 0.00023242719 |
| 360 | Design and Evaluation of Main Memory Hash Join Algorithms for Multi-core CPUs | 2011 | SIGMOD | 0.00020182846 |
| 423 | Massively Parallel Sort-Merge Joins in Main Memory Multi-Core Database Systems | 2012 | VLDB | 0.00018725853 |
| 631 | Relational Joins on Graphics Processors | 2008 | SIGMOD | 0.00015591241 |
| 823 | The Yin and Yang of Processing Data Warehousing Queries on GPU Devices | 2013 | VLDB | 0.00013792901 |
| 959 | Memory-Efficient Hash Joins | 2015 | VLDB | 0.00012953588 |
| 2,140 | Revisiting Co-Processing for Hash Joins on the Coupled CPU-GPU Architecture | 2013 | VLDB | 9.0991487e-05 |
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