Haoxing (Mark) Ren - Director of Design Automation Research - Nvidia
Inspired by the groundbreaking success of AlphaGO, Reinforcement Learning (RL) techniques have, over the past five years, been applied to numerous design optimization challenges, revealing the transformative potential of AI. This talk explores recent advancements in AI applications for chip design that extend beyond RL. First, I will present how RL, in synergy with traditional algorithms, has been harnessed to automate standard cell layout. Next, I will delve into the use of generative models for direct circuit optimization, leveraging pre-trained models and gradient-based methods. Finally, I will discuss how the rise of Large Language Models (LLMs) has expanded the scope of AI in design. I will highlight the role of LLM-based copilots in enhancing productivity through knowledge sharing and coding support, as well as the emergence of LLM-based agents that tackle critical design tasks, including analysis, debugging, and optimization.
About Haoxing (Mark) Ren
Haoxing (Mark) Ren is the Director of Design Automation Research at NVIDIA, focusing on leveraging machine learning and GPU-accelerated tools to enhance chip design quality and productivity. He has over 25 years of industrial EDA research and development experience at IBM and NVIDIA. He holds over thirty patents and has co-authored over 100 papers and books, including a book on ML for EDA and several book chapters in EDA. He received several prestigious awards for his work, including the IBM Corporate Award and best paper awards at ISPD, DAC, TCAD, MLCAD and LAD. He serves in the organization and steering committees of international conferences such as ICCAD and ISPD and as the conference chair at ICLAD. He holds Bachelor's and Master's degrees from Shanghai Jiao Tong University and Rensselaer Polytechnic Institute, respectively, and earned his PhD from the University of Texas at Austin. He is a Fellow of the IEEE.
Nael Abu-Ghazaleh - Professor in the CSE department, UC Riverside
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About Nael Abu-Ghazaleh
Nael Abu-Ghazaleh is a Professor with joint appointment in the CSE and ECE departments at the University of California, Riverside, and the director of the Computer Engineering program. His research interests include architecture support for security, high performance computing architectures, and networking and distributed systems. His group’s research has lead to the discovery of a number of vulnerabilities in modern architectures and operating systems which have been reported to companies and impacted commercial products. He has published over 200 papers, several of which have been nominated or recognized with best paper awards. He is a Distinguished Member of the ACM.