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}
}