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GPU Code Generation and Acceleration

Generate CUDA® code from MATLAB®

After you develop your application using Computer Vision Toolbox™, you can generate optimized CUDA code for NVIDIA®graphics processing unit (GPU) from MATLAB code. The code can be integrated into your project as source code, static libraries, or dynamic libraries, and can be used for prototyping on GPUs. You can use the generated CUDA within MATLAB to accelerate computationally intensive portions of your MATLAB code in machine learning, deep learning, or other applications. You must have MATLAB Coder™ and GPU Coder™ to generate CUDA code.

To take advantage of the performance benefits offered by a modern GPU, certain Computer Vision Toolbox functions can run on a GPU. This support requires Parallel Computing Toolbox™.

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