Skip to content

This is the code for our paper "Reinforcement Learning within Tree Search for Fast Macro Placement".

License

Notifications You must be signed in to change notification settings

MIRALab-USTC/AI4EDA-EfficientPlace

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

EfficientPlace: Reinforcement Learning within Tree Search for Fast Macro Placement

This is the code for our paper "Reinforcement Learning within Tree Search for Fast Macro Placement". Zijie Geng, Jie Wang, Ziyan Liu, Siyuan Xu, Zhentao Tang, Mingxuan Yuan, Jianye Hao, Yongdong Zhang, Feng Wu. ICML 2024.

Environment

To build the environment, you can follow commands in scripts/environment.sh.

Usage

To run the code,

python main.py benchmark@_global_=adaptec1

Citation

If you find this code useful, please consider citing the following paper.

@inproceedings{
    geng2024reinforcement,
    title={Reinforcement Learning within Tree Search for Fast Macro Placement},
    author={Zijie Geng and Jie Wang and Ziyan Liu and Siyuan Xu and Zhentao Tang and Mingxuan Yuan and Jianye HAO and Yongdong Zhang and Feng Wu},
    booktitle={Forty-first International Conference on Machine Learning},
    year={2024},
    url={https://openreview.net/forum?id=AJGwSx0RUV}
}

About

This is the code for our paper "Reinforcement Learning within Tree Search for Fast Macro Placement".

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published