Deployment Basics - MATLAB & Simulink (original) (raw)
Understand the basic workflows and requirements to deploy generated code
Binary files (libraries and executables) can be created from the app, or from the command line. Generate deployable code with an example main function to incorporate the generated binary into your application. Supporting initialization and cleanup functions are also generated for your use. Depending on the types of arrays you want to integrate into your packaged code, see the relevant pages below.
Functions
| coder.ceval | Call C/C++ function from generated code |
|---|---|
| coder.cinclude | Include header file in generated code |
| packNGo | Package generated code in ZIP file for relocation |
Objects
| coder.HardwareImplementation | Hardware-specific configuration parameters for C/C++ code generation fromMATLAB code |
|---|---|
| coder.hardware | Create hardware board configuration object for C/C++ code generation fromMATLAB code |
Topics
Deployment Basics
- Deploy Generated Code
Fundamental considerations for creating working binaries from generated code. - Approaches for Building Code Generated from MATLAB Code
Choose CMake or toolchain approach for building generated code. - Representation of Arrays in Generated Code
Understand how arrays are represented in the generated code. - Generating Standalone C/C++ Executables from MATLAB Code
Generate C/C++ executables at the command line or in the MATLAB® Coder™ app.
Example Main
- Incorporate Generated Code Using an Example Main Function
MATLAB Coder generates an example main function that helps you to incorporate generated C code into your application. - Structure of Generated Example C/C++ Main Function
Examine the parts of a generated example main function so that you can modify an example main for your application.
Using Generated Code
- Use Generated Initialize and Terminate Functions
Use supporting functions to perform initialization and cleanup operations. - Use Dynamically Allocated C Arrays in the Generated Function Interfaces
Understand and use dynamically allocated arrays from the generated C function interfaces. - Use Dynamically Allocated C++ Arrays in Generated Function Interfaces
Understand and use dynamically allocated arrays from the generated C++ function interfaces. - Package Code for Other Development Environments
Package generated files into a compressed file that you can relocate and unpack with a standard zip utility.
Featured Examples
Using Dynamic Memory Allocation for an Atoms Simulation
Generate code for a MATLAB algorithm that runs a simulation of bouncing "atoms" and returns the result after a number of iterations.