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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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Dishes.Cooking.Food

@cookingdish · Post #1021 · 11/21/2025, 02:05 PM

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Crispy Beef Tacos 🌮🔥 Easy, flavour-packed dinner! #beeftacos#foodtok#tacos#dinnerideas#easyrecipe Ingredients: * 350g minced beef * 1 large onion * 2 peppers * 1 pack tortilla wraps * 1 tsp salt * 1 tsp pepper * 1 tsp cumin * 1 tsp Cajun * 1 tsp oregano * 1 1/2 tsp garlic powder * 1 tsp smoked paprika * Tomato & garlic herb sauce * Olive oil * Water * Lettuce * Cherry tomatoes * Cucumber * Mayonnaise * Mozzarella cheese Method: 1. Sauté chopped onion and peppers in a little olive oil. 2. Add minced beef and cook until browned. 3. Season with salt, pepper, cumin, Cajun, oregano, garlic powder, and smoked paprika. 4. Add a splash of water + tomato & garlic herb sauce. Simmer until thickened. 5. Spoon the beef onto tortilla wraps, add mozzarella, fold, and lightly brush with oil. 6. Pan-fry or air fry until crispy and golden. 7. Serve with lettuce, cherry tomatoes, cucumber, and a drizzle of mayo. Enjoy your crispy, cheesy tacos! 😍🌮🔥 #dinner @dishes

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