Wenbao Qiao
Massive Parallel Algorithm Designer Working On GPU DUDA Plateform
Belfort, Bourgogne – Franche-Comté, France
Summary
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SeniorWenbao Qiao is a specialist in massive parallel algorithm design, focused on GPU CUDA implementations for large-scale Euclidean optimization and clustering problems. With eight years at LE2I developing the GPU DUDA platform, he has produced state-of-the-art parallel EMST and closest-point algorithms in 2D/3D and a novel one-thread-per-node memory model that keeps per-thread memory constant. He also pioneered a high-throughput approach for massive 2-/3-opt TSP moves that turns multi-day sequential searches into minutes on GPU hardware. His work spans practical image-processing and clustering techniques (SOM, k-means, hierarchical MST) and emphasizes fully GPU-resident pipelines for end-to-end acceleration. Based in Belfort, France, he blends research-grade algorithmic rigor with production-aware GPU engineering to tackle computational geometry at scale.
8 years of coding experience
Github Skills (8)
python9
machine-learning9
deep-learning8
tensorflow8
data-science7
neural-network7
ml5
deep-neural-networks5
Programming languages (1)
Github contributions (5)
Contributions:21 commits, 19 pushes, 1 branch in 1 year 11 months
wenbaoQIAO/Component-based-2D-3D-NNS-to-GPU-parallel-2D-3D-EMST
Sep 2020 - Dec 2024
Contributions:8 pushes, 1 branch in 4 years 3 months
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