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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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Self Improvement

@selfdeprules · Post #724 · 08/07/2023, 06:35 AM

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#affirmation 🔹Kimdir 22 yoshida o'qishni tugatadi va 5 yilgacha yaxshi ish topolmaydi. 🔹Kimdir 25 yoshida direktor bo'ladi va 50 yoshida bu dunyoni tark etadi. 🔹Kimdir 50 yoshida direktor bo'ladi va 90 yoshgacha umr kechiradi. 🔹Kimdir hozir yolg'iz, kimdir nevaralari bilan o'tiribdi. 🔹Obama 55 yoshida tark etdi, Tramp 70 yoshida keldi. Shunday ekan, hech narsaga shoshilmang, hech kimga hasad qilmang, hamma o'zini yo'lini bosib o'tadi, hamma narsani o'zini vaqti bor. Dam oling va berilgan umringizni mazza qilib yashang! Boshqalagayam tarqatamiz😉 @selfdeprules

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