Chenguang Zhu
Senior Research Scientist @Meta
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WORK HISTORY
Senior Research Scientist @Meta
Menlo Park, CA, US
Topics: AI Efficiency Optimization, GPU Trace Analysis1. PyTorch Performance Debugging in N-Dimensional Parallelism: https://lnkd.in/gD-Tckgb2. Holistic Trace Analysis: Identifying Performance Bottlenecks in GPU Training Workloads: https://github.com/facebookresearch/HolisticTraceAnalysis3. Performance profiling and analysis of Meta Training and Inference Accelerator (MTIA v2): https://ai.meta.com/blog/next-generation-meta-training-inference-accelerator-AI-MTIA/
EDUCATION
The University of Texas at Austin
Doctor of Philosophy - PhD, Computer Engineering
University of Toronto
Master of Science (M.Sc.), Computer Science
Harbin Institute of Technology
Bachelor of Engineering (B.E.), Software Engineering
SKILLS
ABOUT CHENGUANG ZHU
I am a Senior Research Scientist at Meta AI.I received my Ph.D. from the Department of Electrical and Computer Engineering of the University of Texas at Austin, working with Professor Sarfraz Khurshid. Previously, I received my M.Sc. from the University of Toronto, Canada, working with Professor Marsha Chechik, and my B.E. from Harbin Institute of Technology, China.My interests focus on program analysis techniques with applications in GPU performance optimization, machine learning efficiency and reliability, and automated software engineering. I am also interested in developing techniques for various innovative domains, including AI systems and smart contracts.
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