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Implementation of NeurIPS 2021 paper "On Joint Learning for Solving Placement and Routing in Chip Design" & NeurIPS 2022 paper "The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design".

License: MIT License

C++ 13.65% Python 5.05% C 0.13% Prolog 74.99% Cuda 5.80% CMake 0.37%

eda-ai's Introduction

Implementation of

  • NeurIPS 2021 paper "On Joint Learning for Solving Placement and Routing in Chip Design" (DeepPlace)
  • NeurIPS 2022 paper "The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design" (PRNet)

Citations

If you find our paper/code useful in your research, please citing

@article{cheng2021joint,
  title={On Joint Learning for Solving Placement and Routing in Chip Design},
  author={Cheng, Ruoyu and Yan, Junchi},
  journal={Advances in Neural Information Processing Systems},
  volume={34},
  pages={16508--16519},
  year={2021}
}
@inproceedings{chengpolicy,
  title={The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design},
  author={Cheng, Ruoyu and Lyu, Xianglong and Li, Yang and Ye, Junjie and Jianye, HAO and Yan, Junchi},
  booktitle={Advances in Neural Information Processing Systems}
}

eda-ai's People

Contributors

rogerity avatar deepopo avatar

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