Official implementation of our MacroRank, which can accurately predict the relative order of the quality of macro placement solutions.
conda env create -f env.yaml
bash bin/test_cnn.sh
bash bin/test_hgnn.sh
bash bin/test_ehnn.sh
bash bin/test_macrorank.sh
This repository is released under the MIT License.
If you think our work is useful, please feel free to cite our paper.
@inproceedings{chen2023macrorank,
author = {Chen, Yifan and Mai, Jing and Gao, Xiaohan and Zhang, Muhan and Lin, Yibo},
title = {MacroRank: Ranking Macro Placement Solutions Leveraging Translation Equivariancy},
booktitle = {IEEE/ACM Asia and South Pacific Design Automation Conference (ASPDAC)},
year = {2023},
isbn = {9781450397834},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3566097.3567899},
doi = {10.1145/3566097.3567899},
pages = {258–263},
numpages = {6},
location = {Tokyo, Japan},
}
For any questions, please do not hesitate to contact us.
Yifan Chen: [email protected]
