Abstract
Agile hardware development has two most important aspects: high-performance domain-specific architectures, and the design automation tools that facilitate the rapid development of such architectures. In this talk, we will discuss both aspects. First, we introduce two open-source domain-specific architectures: one for graph neural network (FlowGNN), the other for mixture-of-expert vision transformer (Edge-MoE). Next, we introduce our open-source agile development tool, LightningSim, built on top of Vitis HLS (high-level synthesis), which significantly speeds up the C/RTL co-simulation for accurate performance. Third, we briefly introduce our on-FPGA profiling tool, RealProbe, which provides detailed, on-board performance profiling using HLS.
Bio
Dr. Cong “Callie” Hao is an assistant professor in ECE at Georgia Tech. She was a postdoc in ECE at UIUC from 2018 to 2020 and she received the Ph.D. degree in Electrical Engineering from Waseda University in 2017. Her primary research interests lie in the joint areas of efficient hardware design, electronic design automation tools, and machine learning algorithms.
