Qijing Jenny Huang, Ph.D.

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