GPU Computing

Run image processing code on a graphics processing unit (GPU)

To take advantage of the performance benefits offered by a modern graphics processing unit (GPU), certain Image Processing Toolbox™ functions can perform image processing operations on a GPU. These functions provide GPU acceleration for complicated image processing workflows.

Functions

`gather`	Transfer distributed array or gpuArray to local workspace
`gpuArray`	Array stored on GPU

Topics

Image Processing on a GPU
Take advantage of graphics processing unit (GPU) acceleration for complicated image processing workflows.
Parallel Block Processing on Large Image Files
If you have a Parallel Computing Toolbox™ license, you can take advantage of multiple processor cores on your machine to improve the performance ofblockproc.
Functions Supporting GPU Computing

Related Information

GPU Computing tutorial

Featured Examples

Perform Pixel-Based Operations on GPU

Perform pixel-based operations on a GPU by using functions that send both the data and the operations to the GPU for processing. This method is most effective for element-wise operations that require two or more data sets.

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Perform Thresholding and Morphological Operations on GPU

Perform image processing operations on a GPU. The example uses filtering to highlight the watery areas in an aerial photograph.

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