How many ways can you program a GPU? This tutorial covers four practical methods of adding GPU acceleration to your applications. Take advantage of pre-packaged acceleration by dropping in a GPU-accelerated library to replace MKL, IPP, FFTW, or other libraries you are already using. Automatically parallelize ëforí loops in your C or Fortran code using OpenACC directives. Use powerful, cross-platform algorithms and data structures from the Thrust library of C++ to target CUDA, TBB and OpenMP. Develop your own parallel applications and libraries using a programming language you already know like C, C++, Fortran and more.