Skip to content

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".

Notifications You must be signed in to change notification settings

Mathew0553/EDA-AI

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 

Repository files navigation

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}
}

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".

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Prolog 74.9%
  • C++ 13.7%
  • Cuda 5.8%
  • Python 5.1%
  • Other 0.5%