Skip to content
Zeus logo Zeus logo

Deep Learning Energy Measurement and Optimization


Project News

  • [2025/05] We shared our experience and design philosophy for the ML.ENERGY leaderboard in this paper.
  • [2025/05] Zeus now supports CPU, DRAM, AMD GPU, Apple Silicon, and NVIDIA Jetson platform energy measurement!
  • [2024/11] Perseus, an optimizer for large model training, appeared at SOSP'24! Paper | Blog | Optimizer
  • [2024/05] Zeus is now a PyTorch ecosystem project. Read the PyTorch blog post here!
  • [2024/02] Zeus was selected as a 2024 Mozilla Technology Fund awardee!

Zeus is a library for (1) measuring the energy consumption of Deep Learning workloads and (2) optimizing their energy consumption.

Zeus is part of The ML.ENERGY Initiative.

Documentation Organization

We also provide usage examples in our GitHub repository.


If you find Zeus relevant to your research, please consider citing:

@inproceedings{zeus-nsdi23,
    title     = {Zeus: Understanding and Optimizing {GPU} Energy Consumption of {DNN} Training},
    author    = {Jie You and Jae-Won Chung and Mosharaf Chowdhury},
    booktitle = {USENIX NSDI},
    year      = {2023}
}

Contact

Jae-Won Chung (jwnchung@umich.edu)