Jae-Won Chung

I'm a fifth year PhD candidate in CSE at the University of Michigan. I build efficient software systems for deep learning, with a focus on the efficient management of not only time, but also energy.

I view power and energy as fundamental systems resources that are worth carefully optimizing and allocating, not only in hardware, but also from software. Doing so provides automatic downstream benefits, such as reducing operational expenses, alleviating power delivery pressure for the grid and datacenters, and allowing the hardware to truly max out on performance. My research and open-source works have been recognized and adoped by NVIDIA, Google, Microsoft, the Pytorch Foundation, and GitHub, among others.

I created and lead the ML.ENERGY initiative as part of my research and open-source efforts. I am fortunate to be advised by Professor Mosharaf Chowdhury and be part of SymbioticLab.