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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 #14777 · 06/03/2025, 12:00 AM

#other#applications#coderquad#college#fulltime#hacktoberfest#jobs#newgrad#position#posting#university This resource is a regularly updated list of entry-level jobs for new graduates in software, tech, computer science, product management, and quantitative roles for 2024 and 2025, organized by Coder Quad and Simplify[1][2][4]. It features a wide range of open positions from top companies, sorted by category like software engineering, data science, AI, quantitative finance, and hardware engineering. The list is easy to browse, with direct links to apply for each job, and is updated daily so you always see the latest opportunities. You can also use tools like Simplify’s browser extension to autofill job applications and get email alerts for new roles, saving you time and effort. This helps you quickly find and apply for jobs that match your skills and interests, making your job search much easier and more efficient[1][2][4]. https://github.com/SimplifyJobs/New-Grad-Positions