2021 International Conference On
Computer-Aided Design

40th EDITION

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The Premier Conference Devoted to Technical Innovations in
Electronic Design Automation

Virtual Technical Program:
November 1-4, 2021
Networking In-Person:
November 5, 2021

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Virtual Technical Program

Networking In-Person

Monday

8:00 - 9:00 am

Vivienne Sze
Massachusetts Institute of Technology (MIT)
Website


Abstract
The compute demands of AI and robotics continue to rise due to the rapidly growing volume of data to be processed; the increasingly complex algorithms for higher quality of results; and the demands for energy efficiency and real-time performance. In this talk, we will discuss the design of efficient hardware accelerators and the co-design of algorithms and hardware that reduce the energy consumption while delivering real-time and robust performance for applications including deep neural networks and autonomous navigation. We will also highlight important design principles, methodologies, and tools that can facilitate an effective design process.

Bio
Vivienne Sze (http://sze.mit.edu/) is an associate professor in MITs Department of Electrical Engineering and Computer Science and leads the Research Lab of Electronics Energy-Efficient Multimedia Systems research group. Her group works on computing systems that enable energy-efficient machine learning, computer vision, and video compression/processing for a wide range of applications, including autonomous navigation, digital health, and the internet of things. She is widely recognized for her leading work in these areas and has received many awards, including faculty awards from Google, Facebook, and Qualcomm, the Symposium on VLSI Circuits Best Student Paper Award, the IEEE Custom Integrated Circuits Conference Outstanding Invited Paper Award, and the IEEE Micro Top Picks Award. As a member of the Joint Collaborative Team on Video Coding, she received the Primetime Engineering Emmy Award for the development of the High-Efficiency Video Coding video compression standard. She is a co-author of the book entitled Efficient Processing of Deep Neural Networks.

Tuesday

8:00 - 9:00 am

Elison Matioli
Ecole Polytechnique Fédérale de Lausanne (EPFL)
Website


Abstract
Electricity is the fastest growing form of end-use energy, however a considerable portion of the electricity consumed worldwide is wasted in power conversion, especially in power semiconductor devices. The outstanding properties of Gallium Nitride and other wideband gap semiconductors for power electronic devices can enable significantly more efficient and compact future power converters. These devices are currently becoming ubiquitous in power electronic circuits, however due to their different physical process compared to common power electronic devices, there is a lack of proper compact modeling tools that correctly represent their behavior under different conditions as well as computer-aided design and optimization approaches to automatically optimize the device design. This talk will present the principles, state-of-the-art and challenges of GaN power devices for efficient power conversion, aiming to open opportunities for device modeling and automation in the field of power electronics.

Bio
Elison Matioli is a professor in the institute of electrical engineering at Ecole Polytechnique Fédérale de Lausanne (EPFL), since 2015. He received a B.Sc. degree in applied physics and applied mathematics from Ecole Polytechnique (Palaiseau, France), followed by a Ph.D. degree from the Materials Department at the University of California, Santa Barbara (UCSB) in 2010. He was a post-doctoral fellow in the EECS department at the Massachusetts Institute of Technology (MIT) until 2014. He has received the UCSB Outstanding Graduate Student - Scientific Achievement Award for his Ph.D. work, the 2013 IEEE George Smith Award, the 2015 ERC Starting Grant Award, the 2016 SNSF Assistant Professor Energy Grant Award and the 2020 University Latsis Prize.

Wednesday

8:00 - 9:00 am

David Patterson
University of California, Berkeley
Website


Abstract
This talk reviews the history, current state, and future directions of RISC-V ("RISC Five"), an open instruction set architecture that is growing in commercial significance. It covers:

1. Novel features of the recent instruction set extensions, such as vector and bit manipulation;
2. Compares their efficiency to conventional proprietary instruction sets; and
3. Gives examples of advances in computer security due to the open instruction set by allowing anyone to test their ideas end-to-end via red team attacks over the Internet on full scale hardware/software systems based on novel architecture features implemented via FPGAs that can be iterated weekly.

Bio
David Patterson is a UC Berkeley professor, Google distinguished engineer, RISC-V International Vice-Chair, and RISC-V International Open Source Laboratory Director. His best known projects are RISC and RAID. He co-authored seven books, including Computer Architecture: A Quantitative Approach, and shared the 2017 ACM A.M Turing Award shared with his co-author John Hennessy.

Friday

11:00 - 12:00 am

Dirk Ziegenbein
Robert Bosch GmbH



Abstract
Software is disrupting one industry after the other. Currently, the automotive industry is feeling the pinch to innovate in the software business. New, innovative approaches to vehicles and their HW/SW architectures are needed and are currently subsumed under the term SW-defined Vehicle. This trend however does not stop at vehicle boundaries but includes off-board communication with edge and cloud services. Thinking it further, this results in a disruptive technology we call Reliable Distributed Systems (RDS), enabling the operation of vehicles, where parts, such as sensing and compute are no longer bound to the vehicle, but can be performed in an edge-cloud continuum. Reliable Distributed Systems are not limited to automotive use cases. By making compute and sensing ubiquitously available, as well as offering transparent communications, applications in several domains are possible: from industrial automation, over building automation to consumer robotics. However, designing Reliable Distributed Systems raises several questions and poses new challenges for electronic design automation.

Bio
Dirk Ziegenbein is chief expert for open context systems engineering and leads a research group developing methods and technologies for software systems engineering at Bosch Corporate Research in Stuttgart, Germany. He held several positions in R&D (software component technology, scheduling analysis and software architectures for multi-cores) and product management (embedded software engineering tools). Dirk is an initiator of the DATE Special Initiative on Autonomous Systems Design.

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