Speaker: Hsien-Hsin Sean Lee (Facebook)
Abstract: Social networks have been deeply woven into our everyday life. These Internet platforms host a plethora of real-time services to keep people connected, provide customized information to users, and advocate information transparency. Underneath these infrastructure, Machine Learning (ML) application is omnipresent in both datacenters and end users’ devices, steering a rich feature set to improve users’ inter-communication and the quality of their online experiences. Meanwhile, ML also consumes enormous computing resources and require meticulous component design, resource provisioning and management. In this talk, I will share my view on the computation technologies and acceleration strategy in ML applications and discuss the challenges and directions lying ahead from the perspective of a service provider.
Bio: Hsien-Hsin Sean Lee leads the FAIR SysML Research group at Facebook Boston. Previously, he directed the EDA design solutions and oversaw PDK development for IC designers at Taiwan Semiconductor Manufacturing Co. (TSMC). Prior to that, he was an Associate Professor at Georgia Tech (ECE), an Architecture Manager at Agere Systems and a senior processor architect at Intel. Dr. Lee holds a Ph.D. in Computer Science and Engineering from the University of Michigan. He was a receipt of the NSF CAREER Award, the DoE Early CAREER Award, four Best Paper Awards, and the 10-year most influential paper award from ITC-2017. He served as an Associate Editor of IEEE Trans. on Computers, IEEE Trans. on CAD, ACM Trans. on Architecture and Code Optimization, and IEEE MICRO. He also served as the General Chair for IISWC-2010, the Program Co-Chair for MICRO-49, an Executive Committee Member for IEEE-TCCA, an Industry Advisory Board Member for IEEE Computer Society, and a TPC Member for more than 90 international conferences. Dr. Lee published two book chapters and more than 100 technical articles, holds 29 US patents, and is a Fellow of the IEEE.