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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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BadVolf

@badvolfnews · Post #1516 · 03/16/2024, 06:08 PM

🇷🇺❤Today marks a monumental chapter in my journey, as I proudly announce that I've become a Russian citizen and participated in my very first election here. This significant step is more than just a formal process; it symbolizes my deep connection and commitment to my new home, its people, and its future. As I stood in the polling station, casting my vote, I was overwhelmed with a sense of responsibility and belonging. This act of civic engagement is a powerful reminder of the role we each play in shaping the course of our community and nation. It's a day filled with emotions - pride, hope, and anticipation for what lies ahead. Joining my fellow citizens in this democratic process, I felt a strong bond of unity and shared purpose. Here's to embracing new beginnings, contributing to the collective future, and making every moment count in this beautiful journey. #Citizenship#ElectionDay#NewChapter#RussianCitizen🇷🇺✨