Hao Wu is a Senior GPU Architect at NVIDIA with a decade of experience specializing in high performance computing, numerical optimization, deep learning, and GPGPU programming using CUDA. Based in California, he designs GPU architectures and software paths that accelerate ML workloads and scientific computing. His work blends low-level hardware understanding with algorithmic optimization, enabling significant performance gains for compute-intensive applications. Colleagues rely on him for pragmatic solutions that bridge research-grade models and production GPU pipelines.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:3 commits, 2 PRs, 28 comments in 6 months
pythongpu-accelerationdeep-learninggpunumpy
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