These packages are intended for runtime use and do not currently include developer tools (these can be installed separately). NVIDIA provides Python Wheels for installing CUDA through pip, primarily for using CUDA with Python. Run samples by navigating to the executable’s location, otherwise it will fail to locate dependent resources. Navigate to the CUDA Samples build directory and run the nbody sample. Open the Build menu within Visual Studio and click Build Solution. Open the nbody Visual Studio solution file for the version of Visual Studio you have installed, for example, nbody_vs2019.sln. Navigate to the Samples’ nbody directory in. Once the installation completes, click “next” to acknowledge the Nsight Visual Studio Edition installation summary. Once the download completes, the installation will begin automatically. Select next to download and install all components. Perform the following steps to install CUDA and verify the installation. For more details, refer to the Windows Installation Guide. The Local Installer is a stand-alone installer with a large initial download. The Network Installer allows you to download only the files you need. When installing CUDA on Windows, you can choose between the Network Installer and the Local Installer. The CUDA installation packages can be found on the CUDA Downloads Page. For questions which are not answered in this document, please refer to the Windows Installation Guide and Linux Installation Guide.
These instructions are intended to be used on a clean installation of a supported platform. This guide covers the basic instructions needed to install CUDA and verify that a CUDA application can run on each supported platform. Minimal first-steps instructions to get CUDA running on a standard system.
0 kommentar(er)
