Code Generation and Deployment
After you develop your application using Communications Toolbox™ features, 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 or Simulink® installed.
Speed up processing while you work in the MATLAB or Simulink environment.
Incorporate your algorithms into legacy code.
This table compares deployment characteristics of MATLAB Compiler™ and MATLAB Coder™ functionality. Use this table to decide how to deploy your MATLAB code or Simulink model.
|Deployment Characteristic||Using MATLAB Compiler Functionality||Using MATLAB Coder Functionality|
|Output||Nonreadable shared libraries.||Portable and readable C source code.|
|Library dependency||MATLAB Runtime.|
|Supported platforms for deployment|
Windows®, Mac, and Linux®.
Any platform that supports ANSI®/ISO® C/C++ code.
|Intellectual property protection|
Packaged code is encrypted.
Code is not encrypted. You can protect your IP by generating shared libraries instead of readable code.
Same speed as MATLAB.
Potentially faster, depending on the algorithm.
|MATLAB graphics||Supported.||Not supported.|
- Code Generation and Acceleration Support
Generate C code from MATLAB code and Simulink, and use GPUs to accelerate processing
- HDL Code Generation
Generate HDL code from MATLAB code and Simulink models