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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
Search: #efi
@usestick · Post #58 · 12/19/2019, 06:32 AM
#杂项#EFI [冒泡] 近期事情挺多，期末作品和毕业作品赶到一起，焦头烂额，所以几乎没有维护规则，甚至没怎么打开 Telegram，不过还是有些事想说一下： 1. 可能有同学发现了，规则里我放了一个 Dler Cloud 快速设置的配置文件，点击此处 查看； 2. 前些天为频道的第 600 位订阅者赠送了 2.99 美元的 app 一个（自选，以后看心情还会有的 🥳）； 3. 上周日装了一台中配黑果，经过四天的学习和研究，现分享较完美的 EFI 到 GitHub，详情 点击此处 查看（纯小白，有建议请提出）； 4. 这个假期时间相对较多，应该会不断完善规则和黑果 EFI 文件，共勉。
@githubtrending · Post #15612 · 04/12/2026, 11:30 AM
#c_lang#aarch64#arm#arm64#bios#boot_loader#boot_manager#bootloader#efi#gpt#loongarch#loongarch64#loongson#mbr#risc_v#riscv#riscv64#uefi#x64#x86#x86_64 Limine is a modern bootloader that boots Linux and other OSes on x86, ARM64, RISC-V, and LoongArch64 hardware, supporting MBR/GPT partitions and FAT/ISO filesystems on 32-bit Pentium Pro+ or 64-bit systems. Get binaries via Git (e.g., `git clone --branch=v11.x-binary`), build tools with `make`, and join Matrix/Fluxer chats for help. This lets you easily manage and boot multiple OSes with a clean menu, saving time on custom PC or server setups. https://github.com/Limine-Bootloader/Limine