Signal-Li / EDA-AI

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".

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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}
}
@article{cheng2022policy,
  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 Hao, Jianye and Yan, Junchi},
  journal={Advances in Neural Information Processing Systems},
  volume={35},
  pages={26350--26362},
  year={2022}
}

About

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


Languages

Language:Prolog 75.0%Language:C++ 13.7%Language:Cuda 5.8%Language:Python 5.1%Language:CMake 0.4%Language:C 0.1%