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  1. CUDA Developer Tools is a series of tutorial videos designed to get you started using NVIDIA Nsight™ tools for CUDA development. It explores key features for CUDA profiling, debugging, and optimizing.

  2. Select Target Platform. Click on the green buttons that describe your target platform. Only supported platforms will be shown. By downloading and using the software, you agree to fully comply with the terms and conditions of the CUDA EULA.

  3. en.wikipedia.org › wiki › CUDACUDA - Wikipedia

    In computing, CUDA (originally Compute Unified Device Architecture) is a proprietary [1] parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for accelerated general-purpose processing, an approach called general-purpose computing on GPUs ( GPGPU ).

  4. CUDA is NVIDIAs parallel computing architecture that enables dramatic increases in computing performance by harnessing the power of the GPU to speed up the most demanding tasks you run on your PC.

  5. Sep 10, 2012 · CUDA is a parallel computing platform and programming model created by NVIDIA. With more than 20 million downloads to date, CUDA helps developers speed up their applications by harnessing the power of GPU accelerators.

  6. Feb 2, 2023 · NVIDIA CUDA. The NVIDIA® CUDA® Toolkit provides a comprehensive development environment for C and C++ developers building GPU-accelerated applications.

  7. Explore your GPU compute capability and learn more about CUDA-enabled desktops, notebooks, workstations, and supercomputers.

  8. Download CUDA Toolkit 11.0 for Windows and Linux operating systems.

  9. Download CUDA Toolkit 11.2 for Linux and Windows operating systems.

  10. CUDA C++ extends C++ by allowing the programmer to define C++ functions, called kernels, that, when called, are executed N times in parallel by N different CUDA threads, as opposed to only once like regular C++ functions.

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