Cheng Li is a PhD candidate in Computer Science at the University of Illinois at Urbana-Champaign (UIUC) and a member of the IMPACT Research Group led by Professor Wen-Mei Hwu. Her research lies in the field of GPU-accelerated applications, with an emphasis on Deep Learning. Her work has focused on understanding, characterizing, and optimizing Deep Learning workloads. In the process, She has developed a number of open-source tools to benchmark, profile, and summarize Deep Learning training and inference across hardware and software stacks. The tools have been used to inform system design for Deep Learning model serving and develop highly tuned GPU kernels for model inference.
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