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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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@English_Speakers · Post #5139 · 12/23/2022, 04:46 PM

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#converisation #Beginner #Daily_life @English_speakers ⚜➖⚜➖⚜➖⚜➖⚜➖ A: I’m going to take a nap. B: You should unplug the phone. A: That’s a good idea. B: Do you want me to wake you in an hour? A: No, thanks. Just let me sleep until I wake up. B: I’ll start dinner at 6:00. A: Okay. I think I’ll be awake by then. B: If not, your nose will wake you up. A: You mean I will smell the food cooking? B: You might even dream about dinner A: I don’t think I’m going to dream about anything. I’m really tired. B: Have a nice nap. Listen and practice 👇

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