MGI: A Communication Framework for Data Processing in Massive GPU Infrastructures
Summary: MGI abstracts recurring inter-GPU communication optimizations behind a unified interface. A resource-annotated graph controller plans transfers, while a scalable device/link-aware data plane executes them efficiently across heterogeneous GPU infrastructures. (summarized by gpt-5.6-luna on Aug 17 2026)
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Authors
- 1. Di Wu (University of Toronto)
- 2. Hongshi Tan (National University of Singapore)
- 3. Hanzhang Yang (University of Toronto)
- 4. Bingsheng He (National University of Singapore)
- 5. Qizhen Zhang (University of Toronto)
BibTeX Citation
@article{wu_vldb26,
title = {{MGI: A Communication Framework for Data Processing in Massive GPU Infrastructures}},
author = {Wu, Di and Tan, Hongshi and Yang, Hanzhang and He, Bingsheng and Zhang, Qizhen},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {9},
pages = {2262--2275},
doi = {10.14778/3819518.3819549},
url = {https://doi.org/10.14778/3819518.3819549},
year = {2026}
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