Biography
I am an assistant professor in the School of Integrated Circuits at Peking University associated with the Center for Energy-efficient Computing and Applications (CECA). Previously, I worked as a postdoctoral researcher at the University of Texas at Austin from 2018 to 2019. I received the Ph.D. degree in Electrical and Computer Engineering from the University of Texas at Austin in 2018 and the B.S. degree in Microelectronics from Shanghai Jiaotong University in 2013. My research interests include VLSI CAD, machine learning applications, heterogeneous computing. I am a recipient of the Best Paper Awards at DATE 2023, DATE 2022, TCAD 2021, DAC 2019, Integration, the VLSI Journal 2018, and SPIE Advanced Lithography Conference 2016.
I am always looking for motivated undergraduate and graduate students with background in computer science, microelectronics, electrical engineering, mathematics, statistics, or related areas, working on research fields of
machine learning assisted CAD;
GPU/FPGA acceleration.
Opening positions available: Ph.D., Post Doc, Engineer, Interns.
Highly-Recommended Resources
News
3/2024: We won the First Place at ISPD 2024 GPU/ML-Enhanced Large Scale Global Routing Contest. Cheers and congratulations to Chunyuan!
7/2023: We are pleased to release OpenPARF, an open-source placement and routing framework for large-scale heterogeneous FPGAs with deep learning toolkit. Please check it out!
3/2023: Our paper, SAGERoute: Synergistic Analog Routing Considering Geometric and Electrical Constraints with Manual Design Compatibility, received the Best Paper Award at DATE 2023. Please checkout the preprint and binary release. Cheers and thanks to all the co-authors!
8/2022: We are pleased to release an open-source dataset CircuitNet for machine learning tasks in EDA! You are very welcome to check it out and provide feedbacks.
6/2022: Congratulations to Zizheng Guo for winning the First Place at the 2022 ACM Student Research Competition Grand Finals (Undergraduate Category)!
11/2021: Congratulations to Zizheng Guo for winning the Gold Medal at the 2021 ACM/SIGDA Student Research Competition (Undergraduate Category)!
10/2021: Our journal paper, DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement, received the Best Paper Award at TCAD 2021. Please checkout the preprint and source code release. Cheers and thanks to all the co-authors!
08/2021: DREAMPlace 3.0 has been released on Github. Please checkout the source code release. Cheers!
06/2020: Our co-authored paper, TEMPO: Fast Mask Topography Effect Modeling with Deep Learning, received the Best Paper Award at ISPD 2020. Please checkout the preprint. Cheers!
11/2019: Yibo presented OpenMPL 2.0 at ASICON 2019. Please checkout the slides and source code release. Cheers and thanks to all the co-authors!