LK02 ASD Lunchtime Keynote: AI/ML at the Forefront of Semiconductor Evolution: Enhancing Design, Efficiency, and Performance
Yankin Tanurhan, Synopsys, United States
As artificial intelligence (AI) and machine learning (ML) drive innovation, their impact on the semiconductor market is transformative. This keynote will explore the latest AI/ML trends and their implications for SoC designs targeting high-performance compute, edge AI, and IoT applications. The presentation will cover AI/ML's role in developing next-generation semiconductor designs, including how AI/ML algorithms are incorporated into EDA tools to optimize chip design and enable efficient verification and manufacturing. Emerging AI/ML trends driving requirements for advanced neural processing units (NPU) will be explored, including generative AI applications like large language models and text-to-image generators. Finally, the role of transformer-based neural networks in implementing energy-efficient SoCs will be discussed.
Dr. Yankin Tanurhan, Senior Vice President of Engineering in the IP Group at Synopsys, oversees the R&D for Synopsys Processor IP and Smart Subsystems. His portfolio features low-power and high-performance ARC embedded CPUs, NPUs, and DSPs, targeting markets such as Mobile, IoT, Embedded Vision, AI/ML, Digital Home, Automotive/Industrial, Security, and Storage. The portfolio also includes ASIP tools like ASIP Designer and Programmer, as well as IP Subsystems products like Sensor Fusion, Audio, Vision, and Security Subsystems. Additionally, Dr. Tanurhan serves on the Board of Directors of RISC-V International and has been a visiting professor at Xidian University in Xi'an, China. He has authored over 100 papers in refereed publications and holds a B.S. and M.S. in Electrical and Computer Engineering from Rheinisch Westfaellische Technische Hochschule (RWTH) in Aachen, Germany, and a Dr. Ing. degree summa cum laude in Electrical Engineering from the University of Karlsruhe (TH) in Karlsruhe, Germany.