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The nvcc C compiler does most of the work in converting C code into an executable that will run on a GPU or the emulator. Happily, assembly-language programming is not required to achieve high performance. Future articles will discuss working with CUDA from other high-level languages including C++, FORTRAN, and Python. I assume that you're familiar with C/C++. No previous parallel programming or CUDA experience is required. This is consistent with the existing CUDA documentation.
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