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Build and run Docker containers leveraging NVIDIA GPUs
The NVIDIA Container Toolkit allows users to build and run GPU accelerated Docker containers. The toolkit includes a container runtime library and utilities to automatically configure containers to leverage NVIDIA GPUs. Make sure you have installed the NVIDIA driver and Docker engine for your Linux distribution Note that you do not need to install the CUDAToolkit on the host system, but the NVIDIA driver needs to be installed. The NVIDIA Container Toolkit supports different container engines...
...++ Standard Library is an open-source project; it is available on GitHub and included in the NVIDIA HPC SDK and CUDAToolkit. If you have one of those SDKs installed, no additional installation or compiler flags are needed to use libcu++. Thrust is a header-only library; there is no need to build or install the project unless you want to run the Thrust unit tests.
...://www.nuget.org/packages/opencvcuda-debug/
Packages for Release and Debug configurations (due to file size limitations on nuget.org) built with CUDAToolkit 7.0.0 targeting architectures 2.0, 2.1, 3.0, 3.5, 3.7, 5.0, 5.2 suitable for Visual Studio 2013.