Eric Zheng
Ml Shader Compiler Optimization Intern @AMD
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WORK HISTORY
Ml Shader Compiler Optimization Intern @AMD
Markham, ON, CA
Developed ML-based acceleration with PyTorch for shader compiler optimizations on AMD Radeon GPU kernels within the LLVM framework.• Designed and implemented a Mixed-Integer Linear Programming (MILP) instruction scheduler with Python and C++, improving schedulingperformance by 20–30% over the traditional list scheduler.• Designing an ML model in PyTorch to accelerate the MILP scheduler solving speed for practical deployment in GPU kernel compilation pipelines.• Planning to apply a Graph Convolutional Network (GCN) in PyTorch with imitation learning to mo
EDUCATION
University of Toronto Engineering
Bachelor of Applied Science - B.A.Sc, Electrical and Computer Engineering
University of Toronto
Master of Science in Applied Computing, AI Concentration, Artificial Intelligence
Peking University
Exchange Student, Business, Management, Marketing, and Related Support Services
ABOUT ERIC ZHENG
In a world driven by the rapid development of artificial intelligence, I am excited about…
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