The Colleges of Computing and Engineering invite the campus community to a lecture by faculty candidate Cong (Callie) Hao, Monday, February 17, 2020, at 3:00 p.m., in Chem Sci 102. Hao’s talk is titled, “NAIS: neural architecture and implementation search.”
Dr. Hao is a postdoctoral researcher in the Department of Electrical and Computer Engineering (ECE) at University of Illinois at Urbana-Champaign (UIUC), under the supervision of Prof. Deming Chen. She holds a PhD (2017) degree in electrical engineering from Waseda University, and M.S. and B.S. degrees in computer science and engineering from Shanghai Jiao Tong University. Her research interests include high-performance reconfigurable computing, hardware-aware machine learning and acceleration, electronic design automation (EDA) tools, and autonomous driving.
Abstract: In her talk, Hao introduces a neural network and hardware implementation co-search methodology, named NAIS, to pursue aggregated solutions of high accuracy DNN designs and efficient hardware deployments simultaneously. To enable a comprehensive co-search framework, there are three indispensable components: 1) efficient hardware accelerator design (e.g. FPGA); 2) hardware-aware neural architecture search (NAS); and 3) automatic design tools to quickly deploy DNNs to hardware platforms. I will discuss each component and their integrations to support an efficient and optimal NAIS implementation.