GPU Programming in Mathematica

Speed Up Computations with Parallel GPU Computing

With the Wolfram Language, the enormous parallel processing power of Graphical Processing Units (GPUs) can be used from its built-in interface.

The interface supports both CUDA and OpenCL, which lets the Wolfram Language support GPU hardware from a wide range of different GPU manufacturers.

You will learn

• How to create and deploy GPU enabled programs with the Wolfram Language.

• How to use NVIDIA CUDA-enabled GPUs to boost performance in a number of computing areas, such as linear algebra and image processing.

• How to use OpenCL-enabled GPUs from the Wolfram language.

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