Yuechao Pan

Senior Software Engineer at Google

Mountain View, California, United States
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Summary

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Yuechao Pan is a Senior Software Engineer with 12 years of experience building high-performance, scalable machine learning and graph-processing systems, currently working on MLPerf training references and TPU/GPU ML at Google in Mountain View. He brings deep GPU expertise from a PhD and research roles where he architected multi-GPU frameworks (Gunrock), memory-efficient allocators, and cluster-scale graph traversals that processed graphs with billions of edges. His work spans both research and production: optimizing distributed deep learning communication at NVIDIA and delivering record traversal rates on supercomputers at Lawrence Livermore. Known for squeezing orders-of-magnitude performance gains from GPU systems, he pairs low-level kernel tuning with practical distributed communication strategies.
code11 years of coding experience
job13 years of employment as a software developer
bookDoctor of Philosophy - PhD, Computer Engineering, Doctor of Philosophy - PhD, Computer Engineering at University of California, Davis
bookBachelor of Engineering (B.Eng.), Computer Engineering, Bachelor of Engineering (B.Eng.), Computer Engineering at National University of Singapore
languagesChinese, Chinese, English
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Github Skills (67)

graph-algorithms10
benchmark10
gnn10
graph-engine10
deep-learning10
parallel-computing10
gpu10
cpp10
gpu-acceleration10
sparse-matrix10
algorithm10
graph10
benchmarking10
analytics10
cuda10

Programming languages (5)

C++HTMLJupyter NotebookCudaPython

Github contributions (5)

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Laurawly/gunrock

Jul 2014 - Nov 2015

High-Performance Graph Primitives on GPUs
Contributions:151 commits in 1 year 4 months
cudagraph-primitivesgpuperformancegraph
sgpyc/training

Aug 2019 - Jul 2022

Reference implementations of training benchmarks
Contributions:8 reviews, 76 commits, 1 PR in 2 years 11 months
implementationsbenchmarkingdeep-learningmachine-learningtraining
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