This event has been canceled and may be rescheduled at a later date. 
Speaker: Cong (Callie) Hao, Postdoctoral Researcher with the Department of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign
Title: NAIS: Neural Architecture and Implementation Search
Abstract: In this talk, I will introduce 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); 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.
Bio: Cong (Callie) Hao is currently 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 MS and BS degrees in Computer Science and Engineering from Shanghai Jiao Tong University. Her current research interests include high-performance reconfigurable computing, hardware-aware machine learning and acceleration, electronic design automation (EDA) tools and autonomous driving.
Seminar Host: Degang Chen