ML+ X Seminar

Closing the Virtuous Cycle of AI for IC and IC for AI

David Pan


United States

David Pan

The recent artificial intelligence (AI) boom has been primarily driven by three confluence forces: algorithms, big-data, and computing power enabled by modern integrated circuits (ICs), including specialized AI accelerators. This talk will present a closed-loop perspective for synergistic AI and agile IC design with two main themes, AI for IC and IC for AI. As semiconductor technology enters the era of extreme scaling and heterogeneous integration, IC design and manufacturing complexities become extremely high. More intelligent and agile IC design technologies are needed than ever to optimize performance, power, manufacturability, design cost, etc., and deliver equivalent scaling to Moore’s Law. This talk will present some recent results leveraging modern AI and machine learning advancement with domain-specific customizations for agile IC design and manufacturing, including open-sourced DREAMPlace (DAC’19 and TCAD’21 Best Paper Awards), DARPA-funded MAGICAL project for analog IC design automation, and LithoGAN for design-technology co- optimization. Meanwhile on the IC for AI frontier, customized ICs, including those with beyond- CMOS technologies, can drastically improve AI performance and energy efficiency by orders of magnitude. I will present our recent results on hardware and software co-design for optical neural networks and photonic ICs (which won the 2021 ACM Student Research Competition Grand Finals 1st Place). Closing the virtuous cycle between AI and IC holds great potential to significantly advance the state-of-the-art of each other.

Bio: David Z. Pan is a Professor and Silicon Laboratories Endowed Chair at the Department of Electrical and Computer Engineering, The University of Texas at Austin.  His research interests include bidirectional AI and IC interactions, electronic design automation, design for manufacturing, hardware security, and CAD for emerging technologies. He has published over 420 refereed journal/conference papers and 8 US patents. He has served in many journal editorial boards and conference committees, including various leadership roles such as ICCAD 2019 General Chair, ASP-DAC 2017 TPC Chair, and ISPD 2008 General Chair. He has received many awards, including SRC Technical Excellence Award, 20 Best Paper Awards (at TCAD, DAC, ICCAD, DATE, ASP-DAC, ISPD, HOST, SRC,
IBM Research, etc.), DAC Top 10 Author Award in Fifth Decade, ASP-DAC Frequently Cited Author Award, ACM/SIGDA Outstanding New Faculty Award, NSF CAREER Award, IBM Faculty Award (4 times), and so on. He has graduated 35 PhD students who have won many awards, including ACM Student Research Competition Grand Finals First Place in 2018 and 2021, ACM/SIGDA Student Research Competition Gold Medal (thrice), ACM Outstanding PhD Dissertation in EDA Award (twice), and EDAA Outstanding Dissertation Award (twice). He is a Fellow of IEEE and