Code Generation

C/C++ code generation and debugging, report generation

The code generator produces C and C++ code to use on embedded processors, on-target rapid prototyping boards, and microprocessors used in mass production. You can generate code that represents a complete algorithm, or standalone utility code that several model blocks share. Configure code generation parameters to generate target-specific code that adheres to your coding standards and meets your code generation objectives. Code generation reports and traceability between model and code support verification of your code.

Code replacement libraries help customize generated code to meet compliance standards, optimize for your run-time environment, or integrate with existing application code.

Frequently Used Topics

Code Generation Basics
Overview and initiation of code generation
Run-Time Environment Configuration
Select and configure the target environment for your application
Programming Language
Change programming language for generated code
工具密码配置
Use model build process that generates optimized makefiles and supports custom toolchains
Code Appearance
Configure parameters that modify identifiers, code style, and comments
Report Generation
Generate reports and obtain description of code generation results
Sharing Utility Code
Set up reusable code for sharing
Code Replacement
自定义从Simulink生成的代码金宝app^®model using a code replacement library
AUTOSAR Code Generation
Generate C/C++ code and XML component descriptions for AUTOSAR run-time environment
Target Development
开发部署MATLAB的自定义软件^®and Simulink designs to hardware platforms

Featured Examples

Prepare a Control Algorithm Model for C Code Generation

Generate code for a control algorithm model, integrate the generated code with an existing system, and validate simulation and executable results.

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Code Generation for Deep Learning Simulink Model That Performs Lane and Vehicle Detection

This example shows how to generate C++ code from a Simulink® model that performs lane and vehicle detection using convolutional neural networks (CNN).

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