MATLAB to C with MATLAB Coder
This two-day course focuses on generating C code from MATLAB® code using MATLAB Coder™. The focus is on developing MATLAB code that is ready for code generation, generating C code that meets optimization requirements, and integrating generated code into parent projects and external modules. This course is intended for intermediate to advanced MATLAB users.
Day 1 of 2
Code Generation with MATLAB Coder
Objective: Become familiar with MATLAB Coder and its applications.
- MATLAB Coder overview
- Workflow for generating C code from MATLAB code
- Generating C code
- Verifying generated code
- Navigating generated code
Preparing MATLAB Code for Code Generation
Objective: Use MATLAB Coder coding standards to write MATLAB code that is ready for code generation.
- Translating MATLAB code into C code
- Calling unsupported MATLAB functions
- Preparing existing MATLAB code
- Code preparation workflows
Working with Fixed-Size Data
Objective: Generate C code from MATLAB code that has fixed-size or constant inputs.
- Data characteristics overview
- Specifying fixed-size, top-level input
- Specifying constant top-level inputs
Working with Variable-Size Data
Objective: Generate C code from MATLAB code that has variable-size inputs or local data.
- Specifying variable-size, top-level inputs
- Specifying variable-size local data
- Reusing variables
Day 2 of 2
Working with Global Data, Structures, and Cell Arrays
Objective: Generate C code from MATLAB code that contains persistent data, global variables, input structures, or cell arrays.
- Persistent variables
- Global variables
- Working with structures
- Cell arrays in generated code
- Passing arguments by reference
Integrating with External Code
Objective: Integrate generated C code from MATLAB Coder with external C code.
- Code integration overview
- Entry points to generated code
- Integrating external C code using MATLAB Coder interface
- Integrating external C code using an external IDE
- Calling external C functions
- Code verification and profiling
- Source code debugging
Optimizing Generated Code
Objective: Use various options and techniques to optimize generated code.
- Code optimization with loop unrolling and null initialization
- Function inlining and file partitioning
- Configuration objects
- Removing unnecessary code
- Naming conventions in generated code
- Converting a project to a script