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Learn to develop for GPU and non-GPU systems using the latest features in the C++, Fortran, and Python programming languages. Applications written using standard programing languages can take advantage of GPU and multicore-CPU platforms out of the box. Once running on GPUs, NVIDIA-accelerated libraries, CUDA C++, CUDA Fortran, or OpenACC can be used further improve application performance without giving up productivity or portability. Learn about the latest parallel programming capabilities of ISO C++, ISO Fortran, and Python and how to use NVIDIA's HPC software stack to obtain the best possible performance out of your application. See what’s possible and learn best practices in writing parallel code with standard language parallelism.