Awesome
Implementations 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)
- NeurIPS 2023 paper "HubRouter: Learning Global Routing via Hub Generation and Pin-hub Connection" (HubRouter)
- AAAI 2024 paper "PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling" (PreRoutGNN)
- NeurIPS 2024 paper "FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation" (FlexPlanner)
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},
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},
year={2022}
}
@inproceedings{du2023hubrouter,
title = {HubRouter: Learning Global Routing via Hub Generation and Pin-hub Connection},
author = {Du, Xingbo and Wang, Chonghua and Zhong, Ruizhe and Yan, Junchi},
booktitle = {Advances in Neural Information Processing Systems},
year = {2023}
}
@inproceedings{zhong2024preroutgnn,
title={PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling},
author={Zhong, Ruizhe and Ye, Junjie and Tang, Zhentao and Kai, Shixiong and Yuan, Mingxuan and Hao, Jianye and Yan, Junchi},
booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
year={2024}
}
@inproceedings{zhongflexplanner,
title={FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation},
author={Zhong, Ruizhe and Du, Xingbo and Kai, Shixiong and Tang, Zhentao and Xu, Siyuan and Jianye, HAO and Yuan, Mingxuan and Yan, Junchi},
booktitle = {Advances in Neural Information Processing Systems},
year = {2024}
}