Code Generation and GPU Support

Generate portable C/C++/MEX functions and use GPUs to deploy or accelerate processing

After you develop your application using Signal Processing Toolbox™, you can generate portable C/C++ source code, standalone executables, or standalone applications from your MATLAB^® code. With code generation, you can:

Run your simulation on machines that do not have MATLAB installed
Speed up processing while you work in MATLAB

Signal Processing Toolbox also includes functions that can target execution of an algorithm on a Graphics Processing Unit (GPU) rather than on a CPU. Some Signal Processing Toolbox functions can generate optimized CUDA^® code for NVIDIA^® GPUs from MATLAB code.

Highlighted Topics

Featured Examples

Accelerating Correlation with GPUs

Use a graphics processing unit to accelerate cross-correlation in applications that involve large data sets.

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Deploy Signal Segmentation Deep Network on Raspberry Pi

Generate a MEX function and a standalone executable to perform waveform segmentation on a Raspberry Pi^®.

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Classify ECG Signals Using Long Short-Term Memory Networks with GPU Acceleration

Classify heartbeat electrocardiogram data using deep learning and signal processing with GPU acceleration.

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Denoise EEG Signals Using Differentiable Signal Processing Layers

Remove EOG noise from EEG signals using deep learning regression.

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Waveform Segmentation Using Deep Learning

Segment human electrocardiogram signals using time-frequency analysis and deep learning.

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