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Code Generation Goal Summary

Use this table to find Simulink® Coder™ information based on your project goals.

GoalsRelated Information
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Avoid or minimize project rework by considering code generation from the beginning of the model design process

  • Divide software problem into parts and map aspects of your system architecture to Simulink modeling environment elements.

  • Model software interfaces.

  • Modularize design by using Simulink component-based modeling options and reuse techniques.

  • Import external MATLAB®, C, or C++ code.

  • Design timer and scheduling support.

  • Design models based on recommended guidelines.

Architecture and Component Design

Generate code from model design.

  • Configure code interfaces.

  • Check whether model is ready for code generation.

  • Generate source code.

  • Compile generated source code and link object code.

  • Generate reports of code generation results.

Code Generation

Deploy generated code.

  • Adapt a generated program to run without an external real-time executive or operating system on target hardware.

  • Integrate a generated program with an operating system or board support package.

  • Relocate static and generated code files for a model to another development environment.

  • Use a generated shared library in application code.

  • Package and share artifacts generated for a model with a third party without revealing intellectual property.

  • Run accelerated simulations and deploy standalone simulations outside of the MATLAB and Simulink environment.

Deployment, Integration, and Supported Hardware

Optimize generated code by minimizing memory requirements and speeding up execution.

  • Optimize use of RAM, ROM, and stack space by generated code.

  • Improve execution speed of generated code.

  • Reduce data copies.

  • Apply code replacement libraries.

  • Make tradeoffs when generating optimized code.

Code Efficiency

Customize generated code and code generation tools for project or organization.

  • Customize data representation to support interactivity and instrumentation.

  • Customize how the code generator produces code.

  • Define code generation behavior for custom blocks.

  • Use the Target Language Compiler to customize generated code, inline code generated for custom blocks, and generate additional or different types of files.

  • Capture target hardware information for MathWorks® software.

  • Provide the code generator with information about a target platform and required code features.

  • Customize the compilation stage of the build process.

  • Create software for deploying MATLAB and Simulink designs to hardware platforms.

Code and Tool Customization

Verify and test generated code.

  • Monitor signals and tune model parameters in your target application.

  • Profile code execution to determine whether generated code meets performance requirements.

  • Test numeric equivalence.

  • Verify generated code by using code analysis tools.

Verification and Testing