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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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@githubtrending · Post #14850 · 06/21/2025, 12:00 PM

#blade#erp#food#groceries#grocy#home#meal_planner#ownyourdata#php#self_hosted Grocy is a free, web-based tool you can host yourself to manage your groceries and household easily. It helps you track your food stock, plan meals, create shopping lists, manage chores, and keep info about your household devices all in one place. You can scan barcodes to add products quickly and get notifications about expired or low-stock items, reducing waste and saving money. It works on any device with a browser and offers a mobile app-like experience. You can customize it, use its API, and even run it via Docker. This makes managing your home organized, efficient, and less stressful. https://github.com/grocy/grocy