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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, seeFunction List (GPU Acceleration).

Functions

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

Topics

Run MATLAB Functions on a GPU(Parallel Computing Toolbox)

Hundreds of functions in MATLAB®and other toolboxes run automatically on a GPU if you supply agpuArray(Parallel Computing Toolbox) argument.

GPU Support by Release(Parallel Computing Toolbox)

Support for NVIDIA®GPU architectures by MATLAB release.

Featured Examples

GPU Acceleration of Scalograms for Deep Learning

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

Wavelet Time Scattering with GPU Acceleration — Spoken Digit Recognition

Extract features on your GPU for signal classification.
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Music Genre Classification Using Wavelet Time Scattering

Music Genre Classification Using Wavelet Time Scattering

Classify the genre of a musical excerpt using wavelet time scattering and the audio datastore.
Open Live Script

Wavelet Toolbox Documentation

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