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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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Pocket Rocket Announcement

@pocket_rocket_game · Post #12 · 05/28/2024, 10:04 AM

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🚀Our spaceship is on its way to success 🚀 And we believe that each of you can help us reach new heights. That’s why we are launching a content creation activity! The participants will receive 500,000 crystal rocks each for their videos. We will also select the best-performing entries and reward them with WBT. 📲You can join the activity on Instagram, TikTok, X (Twitter), or YouTube. Fill out this form to participate. Read more about the activity here. ⚡️ Don’t forget to use the #PocketRocket hashtag when publishing your content. We can’t wait to see your content! Play | Announcements | Telegram Chat | Twitter |

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