#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
𝖺𝗏𝖺𝗍𝖺𝗋: 𝗍𝗁𝖾 𝗅𝖺𝗌𝗍 𝖺𝗂𝗋𝖻𝖾𝗇𝖽𝖾𝗋
>>> посмотрела ещё на выходных!! мне безумно понравился этот вариант экранизации ❤️
[ каст на мой взгляд идеальный 😌 ]
> пересматриваю сейчас изначальную 'легенду об аанге' и, да, она отличается, но тем не менее экранизация классная 🫶🏻
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