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You can also use nvprof — included with the CUDA software — to get a lot of detailed information about things running on the GPU. Try putting nvprof in front of the two example gocuda lines above.

To that end, the CUDA architecture is designed to work with programming languages such as C, C++, and Fortran, making it easier for parallel programmers to use GPU resources.