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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 #14774 · 06/01/2025, 12:00 PM

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#cplusplus#3mf#android#asset_pipeline#assets#assimp#c_plus_plus#collada#dae#fbx#fbx_exporter#game_development#gamedev_tool#gamedevelopment#gltf#gltf2#ifc#patreon#python#stl The Open Asset Import Library (Assimp) is a tool that helps load many different 3D file formats into a common format. It supports over 40 formats for importing and several for exporting. Assimp works on various platforms like Windows, macOS, Linux, Android, and iOS. It also provides tools to improve the 3D models, such as fixing errors and making them look better. This library is useful for developers because it simplifies working with different 3D file types, making it easier to create and manage 3D content across different systems. https://github.com/assimp/assimp

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#cplusplus #3mf #android #asset_pipeline #assets #assimp #c_plus_plus #collada #dae #fbx #fbx_exporter #game_development #gamedev_tool #gamedevelopment #gltf #gltf2 #ifc #patreon #python #stl