Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects
Summary: NVLink 2.0-based interconnect eliminates CPU-GPU transfer bottlenecks, enabling large-scale in-memory processing on GPUs. Demonstrates scalable no-partitioning hash join beyond GPU memory with up to 18x speedup vs PCIe 3.0 and 7.3x vs optimized CPU. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Clemens Lutz (German National Research Center for Information Technology)
- 2. Sebastian Breß (Technical University of Berlin)
- 3. Steffen Zeuch (German National Research Center for Information Technology)
- 4. Tilmann Rabl (Hasso Plattner Institute)
- 5. Volker Markl (German National Research Center for Information Technology; Technical University of Berlin)
BibTeX Citation
@inproceedings{lutz_sigmod20,
title = {{Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects}},
author = {Lutz, Clemens and Breß, Sebastian and Zeuch, Steffen and Rabl, Tilmann and Markl, Volker},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3389705},
url = {https://dl.acm.org/doi/10.1145/3318464.3389705},
year = {2020}
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