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™.

Functions

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Time-Frequency Analysis

`cwt`	Continuous 1-D wavelet transform
`cwtfilterbank`	Continuous wavelet transform filter bank
`scaleSpectrum`	Scale-averaged wavelet spectrum
`timeSpectrum`	Time-averaged wavelet spectrum
`wcoherence`	Wavelet coherence and cross-spectrum
`wt`	Continuous wavelet transform with filter bank
`wvd`	Wigner-Ville distribution and smoothed pseudo Wigner-Ville distribution

Discrete Multiresolution Analysis

`dwt`	Single-level 1-D discrete wavelet transform
`dwt2`	Single-level discrete 2-D wavelet transform
`dyaddown`	Dyadic downsampling
`dyadup`	Dyadic upsampling
`wavedec`	1-D wavelet decomposition
`wavedec2`	2-D wavelet decomposition
`wextend`	Extend vector or matrix

Transforms

`fft`	Fast Fourier transform
`ifft`	Inverse fast Fourier transform
`fft2`	2-D fast Fourier transform
`ifft2`	2-D inverse fast Fourier transform
`fftshift`	Shift zero-frequency component to center of spectrum
`ifftshift`	Inverse zero-frequency shift

Filtering

`conv`	Convolution and polynomial multiplication
`conv2`	2-D convolution
`filter`	1-D digital filter
`filter2`	2-D digital filter

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 a gpuArray (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

Accelerate scalogram computation using GPUs. The computed scalograms are used as the input features to deep convolution neural networks (CNN) for ECG and spoken digit classification.

Open Live Script

Wavelet Time Scattering with GPU Acceleration — Music Genre Classification

Accelerate the computation of wavelet scattering features using gpuArray and a parallelized "depth-first" version of wavelet time scattering. You must have a CUDA-enabled NVIDIA GPU with compute capability 3.0 or higher. See GPU Support by Release for details.

Open Live Script