Bentian Jiang

According to our database, Bentian Jiang authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Parmesan: Efficient Partitioning and Mapping Flow for DNN Training on General Device Topology.

Lixin Liu, Tianji Liu, Bentian Jiang, Evangeline F. Y. Young

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., August, 2024

Size-Optimized Depth-Constrained Large Parallel Prefix Circuits.

Shiju Lin, Bentian Jiang, Weihua Sheng, Evangeline F. Y. Young

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

Exploring Rule-Free Layout Decomposition via Deep Reinforcement Learning.

Bentian Jiang, Xinshi Zang, Martin D. F. Wong, Evangeline F. Y. Young

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., September, 2023

2022

Neural-ILT 2.0: Migrating ILT to Domain-Specific and Multitask-Enabled Neural Network.

Bentian Jiang, Lixin Liu, Yuzhe Ma, Bei Yu, Evangeline F. Y. Young

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

CU.POKer: Placing DNNs on WSE With Optimal Kernel Sizing and Efficient Protocol Optimization.

Bentian Jiang, Jingsong Chen, Jinwei Liu, Lixin Liu, Fangzhou Wang, Xiaopeng Zhang, Evangeline F. Y. Young

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

A2-ILT: GPU accelerated ILT with spatial attention mechanism.

Qijing Wang, Bentian Jiang, Martin D. F. Wong, Evangeline F. Y. Young

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Partition and place finite element model on wafer-scale engine.

Jinwei Liu, Xiaopeng Zhang, Shiju Lin, Xinshi Zang, Jingsong Chen, Bentian Jiang, Martin D. F. Wong, Evangeline F. Y. Young

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

Building up End-to-end Mask Optimization Framework with Self-training.

Bentian Jiang, Xiaopeng Zhang, Lixin Liu, Evangeline F. Y. Young

Proceedings of the ISPD '21: International Symposium on Physical Design, 2021

2020

Neural-ILT: Migrating ILT to Neural Networks for Mask Printability and Complexity Co-optimization.

Bentian Jiang, Lixin Liu, Yuzhe Ma, Hang Zhang, Bei Yu, Evangeline F. Y. Young

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

CU.POKer: Placing DNNs on Wafer-Scale Al Accelerator with Optimal Kernel Sizing.

Bentian Jiang, Jingsong Chen, Jinwei Liu, Lixin Liu, Fangzhou Wang, Xiaopeng Zhang, Evangeline F. Y. Young

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

2019

Dr. CU 2.0: A Scalable Detailed Routing Framework with Correct-by-Construction Design Rule Satisfaction.

Haocheng Li, Gengjie Chen, Bentian Jiang, Jingsong Chen, Evangeline F. Y. Young

Proceedings of the International Conference on Computer-Aided Design, 2019

FIT: Fill Insertion Considering Timing.

Bentian Jiang, Xiaopeng Zhang, Ran Chen, Gengjie Chen, Peishan Tu, Wei Li, Evangeline F. Y. Young, Bei Yu

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

A fast machine learning-based mask printability predictor for OPC acceleration.

Bentian Jiang, Hang Zhang, Jinglei Yang, Evangeline F. Y. Young

Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

Detailed routing by sparse grid graph and minimum-area-captured path search.

Gengjie Chen, Chak-Wa Pui, Haocheng Li, Jingsong Chen, Bentian Jiang, Evangeline F. Y. Young

Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019