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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 #972 · 08/12/2021, 09:52 AM

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Rclone Remount Remount cloud storage locally during boot via rclone & fusermount directly on your Android powered smart device. Virtually limitless storage expansion with support for dozens of cloud providers including Dropbox, GDrive, OneDrive, SFTP & many more. Extremely useful for devices without physical storage expansion capabilities. Also great for streaming large media files without need for full caching. Binaries compiled using Termux. Features: Support for arm, arm64, & x86 Huge list of supported cloud storage providers Apps with ability to specify paths can access /mnt/cloud/ Most file explorers work just fine (issue #9) Mount points use names of remote(s) in rclone.conf Specify custom rclone params for each remote via /sdcard/.rclone/.REMOTE.param Access remotes via http://127.0.0.1:38762 Access remotes via ftp://127.0.0.1:38763 Mount bind to /sdcard/ (see issue #5) Support for Work Profiles https://github.com/Magisk-Modules-Repo/com.piyushgarg.rclone #rclone#remount#cloud#alternatives

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