MATLAB Coder
R2026bMATLAB® Coder™ generates C/C++ code from MATLAB code for various hardware platforms, from desktop systems to embedded hardware. It supports most of the MATLAB language and a wide range of toolboxes. You can integrate the readable and portable generated code into your existing C/C++ projects as source code, static libraries, or dynamic libraries. MATLAB Coder lets you package the generated code as a MEX function for use in MATLAB. You can optimize the generated code by incorporating multicore and vectorized code and calling optimized libraries.
MATLAB Coder provides code customizations, hardware-specific optimizations, code traceability, code verification using software-in-the-loop (SIL) and processor-in-the-loop (PIL) testing, and code compliance with MISRA™ guidelines (with Embedded Coder®).
To deploy MATLAB programs on host platforms that MATLAB supports, use MATLAB Compiler™.
Get Started
Learn the basics of MATLAB Coder
MATLAB Programming for Code Generation
MATLAB language syntax and functions for code generation; data definition
Code Generation
C/C++ and MEX code generation, fixing errors, behavioral verification
Deployment
Using and running the generated C/C++ code
Performance
Reduce code generation time, improve execution speed, reduce memory usage of generated code
MATLAB Algorithm Acceleration
Acceleration using generated MEX functions
Numeric Conversion
Fixed-point conversion, single-precision conversion (requires Fixed-Point Designer™)
Deep Learning with MATLAB Coder
Generate C/C++ code for deep learning neural networks (requires Deep Learning Toolbox™)
Code Generation for PyTorch and LiteRT Models
Generate C, C++, and CUDA code for PyTorch® ExportedProgram and LiteRT models
MATLAB Coder Supported Hardware
Support for third-party hardware
Check Bug Reports for Issues and Fixes
Software is inherently complex and is not free of errors. The output of a code generator might contain bugs, some of which are not detected by a compiler. MathWorks reports critical known bugs brought to its attention on its Bug Report system at www.mathworks.com/support/bugreports/. In the search bar, type the phrase "Incorrect Code Generation" to obtain a report of known bugs that produce code that might compile and execute, but still produce wrong answers. To save a search, click Save Search.
The bug reports are an integral part of the documentation for each release. Examine periodically all bug reports for a release, as such reports may identify inconsistencies between the actual behavior of a release you are using and the behavior described in this documentation.
In addition to reviewing bug reports, you should implement a verification and validation strategy to identify potential bugs in your design, code, and tools.
Search R2026b Bug Reports
Known Bugs for Incorrect Code Generation
All Known Bugs for This Product
