GPU Acceleration

Run functions on a graphics processing unit (GPU)

To take advantage of the performance benefits offered by a modern graphics processing unit (GPU), certain Wavelet Toolbox™ functions support GPU arrays. This support requires Parallel Computing Toolbox™.

For a list of functions that support GPU arrays, see Function List (GPU Acceleration).

Functions

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

Topics

Run MATLAB Functions on a GPU (Parallel Computing Toolbox)
Supply a gpuArray argument to automatically run functions on a GPU.
GPU Computing Requirements (Parallel Computing Toolbox)
Support for NVIDIA^® GPU architectures.

Featured Examples

GPU Acceleration of Scalograms for Deep Learning

Use your GPU to accelerate feature extraction for signal classification.

Open Live Script

Wavelet Time Scattering with GPU Acceleration — Spoken Digit Recognition

Extract features on your GPU for signal classification.

Open Live Script