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/. Click the "Incorrect Code Generation" filter to obtain a report of known bugs that produce code that might compile and execute, but still produce wrong answers. To save the filtered results, 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
