Originally published at: https://developer.nvidia.com/blog/calling-cuda-accelerated-libraries-matlab-computer-vision-example/
In an earlier post we showed how MATLAB® can support CUDA kernel prototyping and development by providing an environment for quick evaluation and visualization using the CUDAKernel object. In this post I will show you how to integrate an existing library of both host and device code implemented in C++ or another CUDA-accelerated language using MEX.…
Note that with the recent release of MATLAB R2015b comes a new tool called MEXCUDA. This function displaces the use of MEX for CUDA code and eliminates the need to copy an options file or specify 'largeArrayDims'. See the documentation: http://www.mathworks.com/he....