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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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@PTPPAction · Post #2058 · 06/02/2024, 02:55 AM

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#hui-shao:dev #hui-shao #open 抢先体验版本不保证稳定性 fix(pig): HnR count. fix(pig): HnR count. 修复 H&R 计数 测试截图： !2024-06-02_104700

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@PTPPAction · Post #1475 · 12/25/2023, 03:15 PM

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#hui-shao:dev #hui-shao #open fix(u2): 修复非简体中文语言环境下上传量和下载量获取的问题

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@bubbletealuv · Post #2572 · 10/09/2024, 06:37 AM

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ᝬ 🤩𖠵 ゛ (( 🐰) new post by bubbletealuv ↝ #Hui ➛ #Pentagon.. ✨ …( emoji ) 💭 взяли? буду рада увидеть плюсы и реакции!!

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