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Source channel @githubtrending · Post #14985 · Jul 22

#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 #2399 · 10/19/2024, 12:10 PM

#Rhilip#open 抢先体验版本不保证稳定性 feat: add lemonhd commit Merge branch 'dev' into dev * feat: add lemonhd 描述 屏幕截图 2024-10-19 193700 屏幕截图 2024-10-19 193218

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@PTPPAction · Post #1982 · 05/10/2024, 02:05 PM

#Rhilip:dev_full_vite #Rhilip#open 抢先体验版本不保证稳定性 build: full use vite to build pkg deps: use vite plugin to provide node polyfills 移除webpack构建部分,全部转为vite构建。 普通用户请勿在生产环境中使用本pr的相关action构建。

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