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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 #14792 · 06/05/2025, 01:00 PM

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#kotlin#compiler#markdown#markdown_parser#markup_language#paper#pdf#presentations#programming_language#scripting_language#slides#typesetting#typesetting_system Quarkdown is a powerful tool that helps you write and format documents using Markdown. It allows you to create complex content with functions and variables, making it more versatile than regular Markdown. You can easily compile your work into print-ready books or interactive presentations. Quarkdown supports exporting to HTML and PDF, and it includes features like live preview, which helps you see changes as you make them. This makes it easier to ensure your document looks exactly how you want it to. https://github.com/iamgio/quarkdown

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#kotlin #compiler #markdown #markdown_parser #markup_language #paper #pdf #presentations #programming_language #scripting_language #slides #typesetting #typesetting_system