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DeepEP: an efficient expert-parallel communication library

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MT-DeepEP

This repository is forked from the open source project DeepEP deepseek-ai/DeepEP. It adapts DeepEP to work with Moore Threads GPUs.

Quick start

Requirements

  • MooreThreads GPU (Compute Capability 3.1)
  • Python 3.8 and above
  • MUSA 4.0.0 and above
  • PyTorch 2.1 and above
  • MTLink for intranode communication
  • RDMA network for internode communication

License

This code repository is released under the MIT License

Citation

If you use this codebase, or otherwise found our work valuable, please cite:

@misc{deepep2025,
      title={DeepEP: an efficient expert-parallel communication library},
      author={Chenggang Zhao and Shangyan Zhou and Liyue Zhang and Chengqi Deng and Zhean Xu and Yuxuan Liu and Kuai Yu and Jiashi Li and Liang Zhao},
      year={2025},
      publisher = {GitHub},
      howpublished = {\url{https://github.com/deepseek-ai/DeepEP}},
}

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  • C++ 33.5%
  • Python 31.6%
  • mupad 28.4%
  • Cuda 5.7%
  • CMake 0.8%