This is documentation for Mathematica 8, which was
based on an earlier version of the Wolfram Language.
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GPU Computing

With Mathematica, the enormous parallel processing power of Graphical Processing Units (GPUs) can be used from an integrated built-in interface. Incorporating GPU technology into Mathematica allows high-performance solutions to be developed in many areas such as financial simulation, image processing, and modeling. GPU program creation and deployment is fully integrated with Mathematica's high-level development tools and this gives a productivity boost to move from prototype to large-scale solution.
CUDAInformation lists all CUDA device information
CUDAImageConvolve convolves images with specified kernel
CUDAFunctionLoad loads a user-defined function to run on a GPU using CUDA
CUDAErosion  ▪ CUDADilation  ▪ CUDAFourier  ▪ CUDADot  ▪ ...
OpenCLInformation lists all OpenCL device information
OpenCLFunctionLoad loads a user-defined function to run on a GPU using OpenCL
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