July CASS-Wide Webinar: Managing Complexity in Advanced VLSI Physical Design: Methodology, Automation, and AI
You are invited to attend the upcoming CASS-Wide webinar: Managing Complexity in Advanced VLSI Physical Design: Methodology, Automation, and AI
29 July 2026
10:00 AM Eastern Time (US and Canada)
This talk examines the interplay between human designers and design automation, with a focus on managing complexity and maximizing return on engineering investment. The discussion also explores the emerging role of AI-driven design techniques and their potential to transform semiconductor development. The talk concludes with insights from the design of the IBM Spyre AI Accelerator, highlighting practical design decisions and tradeoffs in developing advanced AI hardware.
Dr. Matthew Ziegler will discuss effective methodologies, appropriate abstractions, and careful balancing of PPA (performance, power, and area) optimization versus product delivery schedule.
Speaker
Matthew Ziegler
Principal Research Scientist and Manager
IBM T. J. Watson Research Center
Matthew Ziegler is a Principal Research Scientist and Manager at the IBM T. J. Watson Research Center, Yorktown Heights, NY. He received the Ph.D. degree in electrical engineering from the University of Virginia, Charlottesville, in 2004. Since joining IBM Research in 2004, he received several technical accomplishment awards in the areas of processor design, design automation, and low power design. Currently he manages a VLSI design group at IBM Research that developed IBM’s Spyre AI accelerator. Previously he has directly participated in the design of IBM’s z Systems, Power Systems, and BlueGene product families.
Dr. Ziegler is also an Adjunct Associate Professor at Columbia University in the Electrical Engineering Department where he has taught classes in VLSI physical design and logic design. He is a recipient of the 2018 Mehboob Khan Award from the Semiconductor Research Corporation and is a member of the IBM Academy of Technology. He has served on various conference committees, including being a ISLPED 2019 general co-chair and has organized the IEEE IBM AI Compute Symposia since 2018.
We hope you will join us for this timely discussion on Managing Complexity in Advanced VLSI Physical Design: Methodology, Automation, and AI
Registration is required.