AI and Intelligent IC Design: A Synergistic Approach
Speaker
Prof. David Pan
UT Austin
Host
Duane Boning
MIT EECS
Abstract
This talk will present a synergistic approach on AI and intelligent IC design/manufacturing with two themes, AI for IC and IC for AI. As the semiconductor technology enters the era of extreme scaling, more intelligent IC design technologies across various abstraction layers are needed to deliver equivalent scaling to Moore’s Law. I will present our recent efforts leveraging modern AI and machine learning advancement to enable agile IC design and manufacturing closure. Meanwhile, customized IC can significantly improve AI performance and energy efficiency. I will present the hardware/software co-design of an optical neural network. The bidirectional reinforcement of AI and IC holds great potential to advance the state-of-the-art of each other.
Biography
David Z. Pan is currently Engineering Foundation Professor at University of Texas at Austin. His research interests include electronic design automation, machine learning, hardware security, and CAD for emerging technologies. He has received SRC Technical Excellence Award in 2013, 16 Best Paper Awards, among others. He has graduated 25 PhD students who have also won many awards, including First Place of ACM Student Research Competition Grand Finals in 2018, and four Outstanding PhD Dissertation awards. He is a Fellow of IEEE and SPIE.
This talk will present a synergistic approach on AI and intelligent IC design/manufacturing with two themes, AI for IC and IC for AI. As the semiconductor technology enters the era of extreme scaling, more intelligent IC design technologies across various abstraction layers are needed to deliver equivalent scaling to Moore’s Law. I will present our recent efforts leveraging modern AI and machine learning advancement to enable agile IC design and manufacturing closure. Meanwhile, customized IC can significantly improve AI performance and energy efficiency. I will present the hardware/software co-design of an optical neural network. The bidirectional reinforcement of AI and IC holds great potential to advance the state-of-the-art of each other.
Biography
David Z. Pan is currently Engineering Foundation Professor at University of Texas at Austin. His research interests include electronic design automation, machine learning, hardware security, and CAD for emerging technologies. He has received SRC Technical Excellence Award in 2013, 16 Best Paper Awards, among others. He has graduated 25 PhD students who have also won many awards, including First Place of ACM Student Research Competition Grand Finals in 2018, and four Outstanding PhD Dissertation awards. He is a Fellow of IEEE and SPIE.