Efficiently Joining Large Relations on Multi-GPU Systems
Summary: Introduces a heterogeneous, out-of-core multi-GPU sort-merge join exploiting NVLink/NVSwitch peer-to-peer transfers, CPU multiway merging, and hybrid CPU/GPU joining. Scales across GPUs and outperforms CPU and non-P2P GPU joins by up to 15.2× and 8.7×, respectively. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Tobias Maltenberger (Hasso Plattner Institute)
- 2. Ilin Tolovski (Hasso Plattner Institute)
- 3. Tilmann Rabl (Hasso Plattner Institute)
BibTeX Citation
@article{maltenberger_vldb25,
title = {{Efficiently Joining Large Relations on Multi-GPU Systems}},
author = {Maltenberger, Tobias and Tolovski, Ilin and Rabl, Tilmann},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {11},
pages = {4653--4667},
doi = {10.14778/3749646.3749720},
url = {https://doi.org/10.14778/3749646.3749720},
year = {2025}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,959 | Terabyte-Scale Analytics in the Blink of an Eye | 2026 | VLDB | 5.5181056e-05 |
| 10,252 | GraphRTX: Lighting the Way to Scalable Graph Analytics | 2026 | SIGMOD | 5.093636e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 32 of 32 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 | 3,011 | Design and Evaluation of Parallel Pipelined Join Algorithms | 1987 | SIGMOD |
| 2 | 2,566 | Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects | 2020 | SIGMOD |
| 3 | 209 | Sort vs. Hash Revisited: Fast Join Implementation on Modern Multi-Core CPUs | 2009 | VLDB |
| 4 | 252 | Multi-Core, Main-Memory Joins: Sort vs. Hash Revisited | 2014 | VLDB |
| 5 | 5,587 | Distributed GPU Joins on Fast RDMA-capable Networks | 2023 | SIGMOD |
| 6 | 3,227 | MG-Join: A Scalable Join for Massively Parallel Multi-GPU Architectures | 2021 | SIGMOD |
| 7 | 4,535 | Triton Join: Efficiently Scaling to a Large Join State on GPUs with Fast Interconnects | 2022 | SIGMOD |
| 8 | 7,591 | Efficiently Processing Joins and Grouped Aggregations on GPUs | 2025 | SIGMOD |
| 9 | 631 | Relational Joins on Graphics Processors | 2008 | SIGMOD |
| 10 | 3,134 | Efficient Join Algorithms For Large Database Tables in a Multi-GPU Environment | 2021 | VLDB |