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Source channel @githubtrending · Post #14985 · Jul 22

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#c_lang#cuda#cuda_driver_api#cuda_kernels#cuda_opengl You can use the CUDA Samples from NVIDIA to learn and test CUDA Toolkit 12.9 features by downloading them from GitHub or as a ZIP file. These samples show how to use CUDA for GPU programming, including utilities, concepts, libraries, and performance optimization. You build them with CMake on Linux, Windows, or Tegra devices, and can run tests automatically with a provided Python script. This helps you understand CUDA programming, debug GPU code, and optimize your applications for better performance on NVIDIA GPUs. It’s a practical way to develop and improve GPU-accelerated software efficiently. https://github.com/NVIDIA/cuda-samples

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@HBDJ168 · Post #444 · 07/01/2025, 06:04 PM

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刀塔-FISSURE宇宙 #GG 对战 SR (BO3) 2025-07-02 01:00 第二局获胜：GG （重心） 第二局击杀让分：GG-7.5 第二局击杀大小：大于45.5 第二局比赛时间大小：大于36 第一滴血：GG

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