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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 #14837 · 06/18/2025, 12:00 PM

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#go#caddy#frankenphp#go#php#sapi#worker FrankenPHP is a modern server for PHP applications. It makes your PHP apps faster and more efficient by using features like "worker mode," which helps keep some data in memory to process requests quickly. This is especially good for frameworks like Laravel and Symfony. FrankenPHP also supports automatic HTTPS, HTTP/2, and HTTP/3, making it secure and fast. It can be easily installed as a standalone binary or used with Docker, making it simple to set up and use. This helps users by speeding up their applications and reducing the need for many servers. https://github.com/php/frankenphp

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#go #caddy #frankenphp #php #sapi #worker