Qijing Huang

Qijing Jenny Huang, Ph.D.



[CV] [Google Scholar]
I am a research scientist at NVIDIA Research, working on emerging GPU archiecture with the computer architecture research group. My research focuses on accelerated computing and the co-optimization of algorithm, hardware, and mapping to enhance the system performance. Previously, I earned my PhD in Computer Science at UC Berkeley, where I was advised by Prof. John Wawrzynek and collaborated closely with Prof. Sophia Shao. During my PhD, I have worked on algorithm-hardware codesign for FPGA accelerators, HLS-based design methodology, and ML/ILP-assisted compiler optimization and hardware DSE techniques. My thesis focuses on novel design and scheduling techniques for accelerating deep learning algorithms on heterogeneous architecture. Prior to UC Berkeley, I received my B.A.Sc. from the University of Toronto, where I worked with the LegUp research group
University of California, Berkeley
Ph.D. of Computer Science
Aug 2015 - Aug 2021
University of Toronto
Bachelor of Applied Science + PEY, Electrical & Computer Engineering
Sept 2010 - May 2015
Professional Experience
Research Scientist
July 2021 - Present
Student Researcher
May 2020 - July 2021
Hardware Engineer Intern
May 2020 - Aug 2020
Research Intern
May 2019 - Aug 2019
Graduate Lab Technician
Intel Labs
June 2016 - Aug 2016
Software Engineer
Altera (Intel FPGA)
May 2013 - Aug 2014
Research Assistant
University of Toronto
May 2012 - Aug 2012