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GPU Acceleration

运行函数图形处理单元(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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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
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
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
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 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

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

Wavelet Time Scattering with GPU Acceleration — Music Genre Classification

加速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
Wavelet Time Scattering with GPU Acceleration — Spoken Digit Recognition

Wavelet Time Scattering with GPU Acceleration — Spoken Digit Recognition

加速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. This example uses an NVIDIA Titan XP GPU with compute capability 6.1.
Open Live Script

Wavelet Toolbox Documentation

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