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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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Libreware

@libreware · Post #967 · 07/04/2021, 05:29 PM

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The best free Audacity Alternatives https://www.ghacks.net/2021/07/04/the-best-free-audacity-alternatives/ All alternatives listed below lack at least one of the main characteristics of Audacity. They are either only available for one operating system, e.g. Windows, not open source, don't offer the same set of core features, or lack in other departments. Audacity Forks Audacity is an open source project, and developers started to fork the application as soon as the announcement hit the Internet that the project team changed. Forks match all main characteristics of Audacity, but there is no "main" fork yet that all disgruntled developers and users switched to. Here is a link to a promising forks (because it is updated regularly) https://github.com/cookiengineer/audacity Another https://github.com/SartoxOnlyGNU/audacium 📡@nogoolag📡@libreware #alternatives#audacity#audio#editor

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