Powerful GPUs or Fast Interconnects: Analyzing Relational Workloads on Modern GPUs
Summary: Introduces MaxBench, a benchmarking, profiling, and cost-modeling framework for GPU relational analytics across modern GPUs and interconnects. Replaces arithmetic intensity/GFLOP/s with characteristic query complexity and GPU efficiency to quantify compute–communication trade-offs and project future gains. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Marko Kabić (ETH Zurich)
- 2. Bowen Wu (ETH Zurich)
- 3. Jonas Dann (ETH Zurich)
- 4. Gustavo Alonso (ETH Zurich)
BibTeX Citation
@article{kabic_vldb25,
title = {{Powerful GPUs or Fast Interconnects: Analyzing Relational Workloads on Modern GPUs}},
author = {Kabić, Marko and Wu, Bowen and Dann, Jonas and Alonso, Gustavo},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {11},
pages = {4350--4363},
doi = {10.14778/3749646.3749698},
url = {https://doi.org/10.14778/3749646.3749698},
year = {2025}
}
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,959 | Terabyte-Scale Analytics in the Blink of an Eye | 2026 | VLDB | 5.5181056e-05 |
| 10,119 | Data Movement-Aware GPU Sharing for Data-Intensive Systems | 2026 | CIDR | 5.093636e-05 |
| 10,121 | End-to-End Declarative Data Analytics: Co-designing Engines, Interfaces, and Cloud Infrastructure | 2026 | CIDR | 5.093636e-05 |
| 10,123 | Cloudspecs: Cloud Hardware Evolution Through the Looking Glass | 2026 | CIDR | 5.093636e-05 |
| 10,375 | GraphMatch: Subgraph Query Processing on Steroids | 2026 | SIGMOD | 5.093636e-05 |
| 10,541 | Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization | 2026 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 26 of 26 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 10,541 | Scalable GPU Acceleration of Scalar Functions in Analytical Databases: Compilation, Benchmarking, and Optimization | 2026 | VLDB |
| 2 | 10,580 | GPU Acceleration of SQL Analytics on Compressed Data | 2026 | VLDB |
| 3 | 7,959 | Terabyte-Scale Analytics in the Blink of an Eye | 2026 | VLDB |
| 4 | 631 | Relational Joins on Graphics Processors | 2008 | SIGMOD |
| 5 | 5,422 | GPU Database Systems Characterization and Optimization | 2024 | VLDB |
| 6 | 10,985 | Scaling GPU-Accelerated Databases beyond GPU Memory Size | 2025 | VLDB |
| 7 | 9,333 | Efficiently Joining Large Relations on Multi-GPU Systems | 2025 | VLDB |
| 8 | 1,466 | A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics | 2020 | SIGMOD |
| 9 | 6,835 | GPU-accelerated data management under the test of time | 2020 | CIDR |
| 10 | 2,566 | Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects | 2020 | SIGMOD |