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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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Hilol dasturlari

@hiloldasturlari · Post #2229 · 12/15/2024, 06:15 AM

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#duo ❄️ Qor yogʻganda oʻqiladigan duo اللَّهُمَّ اغْسِلْ عَنِّي خَطَايَايَ بِمَاءِ الثَّلْجِ وَالْبَرَدِ، وَنَقِ قَلْبِي مِنَ الْخَطَايَا كَمَا نَقَّيْتَ الثَّوْبَ الْأَبْيَضَ مِنَ الدَّنَسِ. 🤲 Allohummagʻsil ʼannii xotooyaaya bimaaʼis salji val barodi, va naqqi qolbii minal xotooyaa kamaa naqqoytas savbal abyado minad danasi. Maʼnosi: Allohim! Xatolarimni qor va muz ila yuvgin. Qalbimni xuddi oq kiyimni kirdan poklaganingdek poklagin. 📚«Hadis va Hayot», 35-juz – «Zikr, duolar, istigʻfor va tavba» kitobidan 🟢Telegram 🟢Instagram 🟢Facebook 🟢YouTube

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