Biography
David Patterson is a UC Berkeley Pardee professor emeritus, a Google Fellow, and Laude Institute Board Chair. He is currently working on hardware accelerators for AI and their carbon footprint. His most influential Berkeley projects likely were RISC (Reduced Instruction Set Computer) and RAID (Redundant Array of Inexpensive Disks). His best-known book is Computer Architecture: A Quantitative Approach, now in its 7th edition. He and his co-author John Hennessy shared the 2017 ACM Turing Award (the “Nobel Prize of Computing”) and the 2022 NAE Draper Prize for Engineering (a “Nobel Prize of Engineering”).
Keynote: “How to Give AI a Bad Carbon Footprint”
Abstract: David will give tongue-in-cheek advice on how to make AI’s carbon footprint worse, and then how to make it better. He will dispel common fallacies about AI’s emissions. Learn key factors influencing AI's carbon footprint and gain valuable perspectives on building more sustainable AI systems, and what is actual largest carbon footprint in information technology