A Software-Assisted Peak Current Regulation Scheme to Improve Power-Limited Inference Performance in a 5nm AI SoC
- Monodeep Kar
- Joel Silberman
- et al.
- 2024
- ISSCC 2024
Dr. Matthew M. Ziegler is a Principal Research Scientist 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. Dr. Ziegler has directly participated in the design of IBM’s Power Systems, z Systems, and BlueGene families of products. Currently he is the Design Methodology Lead for IBM’s AI accelerator ASIC effort. His research has recently focused on AI accelerator design, machine learning for CAD, VLSI design productivity, optimization, and low power design. This work has led to design methodologies and design automation systems used throughout IBM processor designs.
Dr. Ziegler is also an Adjunct Associate Professor at Columbia University in the Electrical Engineering Department where he has taught courses 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 chair and a general chair of the IEEE IBM AI Compute Symposia for multiple years.