2022 Keynote Speakers

View the Entire 2022 Conference Program

Mark Papermaster, CTO and EVP Technology and Engineering, AMD
Mark Papermaster

Advancing EDA Through the Power of AI and High-performance Computing 

Monday, July 11, 2022

Technologies to enable truly intelligent systems are now accelerating the EDA evolution. We are at an inflection point where AI algorithms have a huge impact, in both EDA and in CAD with the realization of digital twins and generative design. Moreover, many more high performance and acerated compute solutions are available, both on-prem and cloud-based, to speed design and analysis. AMD CTO & EVP of Technology and Engineering Mark Papermaster will explore new compute approaches to help the industry overcome challenges and address time, cost and complexity barriers that impede innovation and future success.

Anirudh Devgan, PhD, President and Chief Executive Officer, Cadence Design Systems, Inc. 
Anirudh Devgan

Computational Software and the Future of Intelligent Electronic System Design

Tuesday, July 12, 2022

The EDA industry has driven orders of magnitude productivity, scalability, and quality improvements. We are now in the era of AI, where it impacts our daily lives, the products we depend on, and how we design those electronics systems. But adding AI technology to existing tools and flows is only the first step in this journey. We can now deliver optimization across multiple dimensions, intersecting domains, and historically loosely coupled components of systems. These new dimensions are transforming the industry, resulting in multiple orders of magnitude improvements in system design productivity with optimization results never before possible or even conceived.


Dr. Anirudh Devgan has served as President and CEO of Cadence Design Systems, Inc. since December 2021, and has been a member of the Board of Directors since August 2021. He served as President of the company from 2017 to 2021, overseeing all business groups, research and development, sales, field engineering and customer support, strategy, marketing, mergers and acquisitions, business development, and IT. Prior to becoming President, he was Executive Vice President and General Manager of the Digital & Signoff and System Verification groups at Cadence. Prior to joining Cadence in 2012, Dr. Devgan was General Manager and Corporate Vice President of the Custom Design Business Unit at Magma Design Automation. Previous roles include management and technical positions at IBM, where he received numerous awards including the IBM Outstanding Innovation Award. Dr. Devgan is an IEEE Fellow, has written numerous research papers, and holds several patents. Dr. Devgan received a Bachelor of Technology degree in electrical engineering from the Indian Institute of Technology, Delhi, and MS and PhD degrees in electrical and computer engineering from Carnegie Mellon University.

Steve TEIg, CEO, Perceive
Steve Teig

Machine Learning for Real: Why Principles, Efficiency, and Ubiquity Matter

Wednesday, July 13, 2022

Marc Andreessen famously opined that “software is eating the world.” Recently, various people have suggested that AI is eating software. Deep learning seems to touch every discipline these days, but behind its startling magic tricks, it is surprisingly primitive. Most deep learning today requires vast data centers whose power consumption burdens an already overstressed planet. Add in the latency and loss of privacy, and it is clear that society would benefit from gadgets that do not require connection to the cloud to be “smart”. Even more concerning, however, is the strong dependence of today’s deep learning on folklore: on recipes and anecdotes, rather than scientific principles and explanatory mathematics. Instead, we can develop rigorous, scalable machine learning guided by information theory to create models that are predictive, power-efficient, and cost-effective.



Steve Teig is a visionary technologist and serial entrepreneur whose work has impacted industries ranging from software and semiconductors to biotechnology and machine learning. He has served as founder and/or CTO for multiple companies, and his contributions have been recognized with numerous awards, including an Edison Award and a World Technology Award. He is an inventor on 365 U.S. patents across multiple disciplines, and a well-regarded speaker who has delivered keynotes and invited lectures at conferences and universities around the world. He currently serves as CEO of Perceive, which provides the Ergo® edge AI processor, a purpose-built chip to enable large neural networks to run within power-constrained devices for a wide range of applications.

Giovanni De Micheli, Professor of Electrical Engineering and Computer Science at EPFL
Giovanni De Micheli

Strange Loops in Design and Technology

Thursday, July 14, 2022

Strong ties link the evolution of computing, semiconductor technology and design automation. The unprecedented growth of system solutions, services and markets are due to the cross-fertilization of various areas of science and technology, where often new problems motivate new solutions in a circular way. Design automation has led engineers in sailing through uncharted territories, in shaping our digital society on robust grounds and in providing us with a launchpad for the future.



Giovanni De Micheli is a research scientist in electronics and computer science. He is credited for the invention of the Network on Chip design automation paradigm and for the creation of algorithms and design tools for Electronic Design Automation. He is Professor and Director of the Integrated Systems Laboratory at EPFL Lausanne, Switzerland. Previously, he was Professor of Electrical Engineering at Stanford University. Prof. De Micheli is a Fellow of ACM , AAAS and IEEE, a member of the Academia Europaea and an International Honorary member of the American Academy of Arts and Sciences. He is the recipient of several awards from IEEE, ACM and EDAA. His current research interests include several aspects of EDA, such as synthesis for emerging technologies. He is also interested in heterogeneous platform design including electrical components and biosensors, as well as in data processing of biomedical information. He was the DAC chair in 2000.