Overview
In this webinar, we demonstrate the workflow for generating readable and portable C/C++ code from your MATLAB algorithms using MATLAB Coder. Using the command line approach or the MATLAB Coder app, you can introduce implementation requirements to your algorithms written in MATLAB and generate readable source code, standalone compiled executable, or a library that can be shared across your organization.
MathWorks engineers also explore how you can automatically generate MEX functions to accelerate computationally intensive portions of your MATLAB code by running it at compiled speed, or use it to verify the behavior of the generated code back in MATLAB.
Highlights
Watch this webinar to learn how to:
- Generate C/C++ from MATLAB code that can be compiled from desktop systems to embedded devices such as ARM Cortex-A
- Generate C/C++ from deep learning networks along with pre- and postprocessing code as inference engines for Intel Xeon CPUs or ARM Cortex-A processors
- Generate C/C++ as MEX-files to accelerate compute-intensive portions of your MATLAB algorithm in MATLAB
About the Presenter
Bill Chou is the Product Marketing Manager for MATLAB Coder and has been working with MathWorks code generation technologies for over 14 years. Bill holds an M.S. degree in Electrical Engineering from the University of Southern California and a B.A.Sc degree in Electrical Engineering from the University of British Columbia.
