Xu Xianming is a Senior Software Engineer based in China with eight years of experience building high-performance back-end systems and machine learning infrastructure. At Baidu and as a contributor to the prominent PaddlePaddle project, he has focused on GPU compatibility and performance, notably resolving ROCm/HIP issues and optimizing CUDA kernels and memory paths for AMD GPUs. His work improved core operations like memcpy and extended CPU support for seed and dropout operators, contributing measurable performance gains to an industrial-grade deep learning framework. Comfortable at the intersection of systems engineering and ML, he blends low-level optimization with practical model training needs. Colleagues would describe him as a pragmatic problem-solver who seeks measurable impact in large open-source and enterprise codebases.
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
Role in this project:
Back-end Developer & ML Engineer
Contributions:73 reviews, 20 commits, 35 PRs in 1 year 2 months
Contributions summary:Xu primarily contributed to the PaddlePaddle deep learning framework by addressing bugs related to ROCm/HIP and AMD GPU compatibility, significantly improving performance. Their work involved modifications to CUDA kernels, and implementation of memory optimization techniques for AMD GPUs, with a stated performance gain. Furthermore, the user improved functionality by resolving issues with the memcpy operation and integrating support for the seed and dropout operators on the CPU for enhanced model training.
PaddlePaddle Docker images and K8s operators for PaddleOCR/Detection developers to use on public/private cloud.
Contributions:239 commits in 2 months
nvidia-dockerpaddlepaddlepaddleocrdockerk8s
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Xu Xianming - Senior Software Engineer at Baidu, Inc.