MATLAB Coder

 

MATLAB Coder

Generate C and C++ code from MATLAB code

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MATLAB Coder generates C and C++ code from MATLAB code for a variety of 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 generated code into your projects as source code, static libraries, or dynamic libraries. The generated code is readable and portable. You can combine it with key parts of your existing C and C++ code and libraries. You can also package the generated code as a MEX-function for use in MATLAB.

When used with Embedded Coder, MATLAB Coder provides code customizations, target-specific optimizations, code traceability, and software-in-the-loop (SIL) and processor-in-the-loop (PIL) verification.

To deploy MATLAB programs as standalone applications, use MATLAB Compiler. To generate software components for integration with other programming languages, use MATLAB Compiler SDK.
What Is MATLAB Coder?
Screenshot of generated C code for a matrix multiply operation.

Run Anywhere

Use any C/C++ compiler to compile and run your generated code on any hardware, from desktop systems to mobile devices to embedded hardware. The generated code is royalty-free—deploy it in commercial applications to your customers at no charge.

Generating C Code from MATLAB Code (4:34)

Documentation | Examples

Image of a person with bounding box laid over their face.

Use Functions from Toolboxes

Use the MATLAB Coder app or equivalent command-line functions to generate code for your signal processing, computer vision, deep learning, control systems, or other application using MATLAB and Simulink products.

Using MATLAB to Develop 5G RF Front-End Components and Algorithms at Qualcomm

Documentation | Examples

An image of a robot, mobile phones, embedded boards, and a Wifi symbol.

Prototype on Embedded Hardware

Get to hardware fast with automatic conversion of your algorithm to C/C++. Target any device by manually integrating the generated code with your application. Automate the process for Raspberry Pi using MATLAB Support Package for Raspberry Pi.

IDNEO Develops Embedded Computer Vision and Machine Learning Algorithms for Interpreting Blood Type Results

Documentation | Examples

Screenshot of an app showing interactive traceability feature between MATLAB class code and generated C/C++ class code.

Deploy C++ Code from MATLAB

Generate C++ classes from classes in your MATLAB code, including value classes, handle classes, and system objects. Compile the generated code into C++ libraries or executables and integrate them into your existing C++ source code.

Generating Object-Oriented C++ Code from MATLAB Algorithms (4:04)

Documentation | Examples

An image of a robot, mobile phones, embedded boards, and a Wifi symbol.

Optimize the Generated Code

Generate multicore OpenMP code and call optimized libraries such as LAPACK, BLAS, and FFTW. Use with Embedded Coder to generate processor-specific intrinsic code that can execute faster than standard ANSI/ISO C/C++ code.

MATLAB Coder Optimizations in Generated Code

Documentation | Examples

Slide showing image classification using SqueezeNet being deployed to Raspberry Pi.

Deploy Deep Learning Networks and Machine Learning Models

Deploy a variety of trained networks such as ResNet-50, MobileNet-v2, support vector machine (SVM) models, and decision tree models, along with preprocessing and postprocessing logic, to any CPU, including chips based on Intel® and ARM® Cortex®.

Image Classification on ARM CPU: SqueezeNet on Raspberry Pi (4:22)

Documentation | Examples

Screenshot of an app showing interactive traceability feature between MATLAB code and generated C/C++ code.

Integrate with Software

Reuse MATLAB algorithms as C/C++ source code or libraries within your software environment. Generated code uses C/C++ types in a natural way, simplifying integration with external code. Automatically call trusted C/C++ from generated code.

Integrate Code into Visual Studio using MATLAB Coder (4:17)

Documentation | Examples

Screenshot of MATLAB Coder app that is verifying code for MEX functions.

Reuse MATLAB Tests on Generated Code

Reuse existing MATLAB tests to verify the behavior of generated code in the interactive MATLAB environment. Use the MATLAB unit test framework to quickly develop a rich set of regression tests that can be used to verify the generated C/C++ code.

Unit Testing Your Generated Code Using MATLAB Coder (2:58)

Documentation | Examples

Generate and deploy vehicle detection algorithms to hardware devices such as GPUs.

Accelerate Algorithms

Call generated code as MEX functions from your MATLAB code to speed execution. Profile generated MEX functions to identify bottlenecks and focus your optimization efforts.

Accelerate Image Compression Algorithm Using MATLAB Coder (4:21)

Documentation | Examples

Product Resources:

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What's Next?

Start Guide

Quick Start Guide for MATLAB Coder

Resources

Language, Function, and Object Support for MATLAB Coder

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