ARM Cortex-R Support from Embedded Coder
Generate code optimized for Arm Cortex-R processors
Check the System Requirements
To install a hardware support package, you must have a supported product release, along with the required operating system and base product.
View the hardware support package system requirements table and confirm you have:
- A supported release
- A supported operating system
- The required base products
If you do not have a supported release or the required base products, you can get started with a free trial, or you can purchase products.
Continue with the Installation
After confirming you have the system requirements, proceed with either installation option listed below.
Option 1: Using the Toolstrip
Launch the Support Package Installer from your version of MATLAB and navigate to the correct support package.
Option 2: "Get Support Package" Button (.mlpkginstall file*)
Clicking the Get Support Package button provides the support package install file:
([filename].mlpkginstall)
There are several ways to initiate the Support Package Installer from these files:
- Open the
.mlpkginstallfile directly from your Internet browser. - Download and save the file (the default option for some Internet browsers), and open it directly from your Windows, Mac, or Linux operating system.
- Open the
.mlpkginstallfile directly from within MATLAB by navigating the Current Folder to the location of the downloaded file and double clicking it. That will initiate the installation for the MATLAB release that you have open.
The primary difference between using the .mlpkginstall file (option 2) rather than the toolstrip (option 1) to initiate support package installation is that the file allows the user to avoid the support package selection screen on the installer.
*These file types were introduced in MATLAB R2013a.
Users without an Internet connection can install hardware support packages by following the download instructions.
Capabilities and Features
MATLAB Coder™, Simulink Coder™, and Embedded Coder® generate ANSI®/ISO® C/C++ code that can be compiled and executed on ARM® Cortex®-R processors. Embedded Coder lets you easily configure the code generated from MATLAB® and Simulink® algorithms to control software interfaces, optimize execution performance, and minimize memory consumption.
In addition to ANSI/ISO C, Embedded Coder provides support to perform and on-target rapid prototyping for the TI Hercules RM57 Launchpad. It also provides an SDK for extending support of on-target rapid prototyping to other Cortex-R boards (e.g., TI Hercules TMS570 and RM4x development boards).
You can also use the RM57Lx Launchpad to :
- Perform code verification using PIL tests with TI’s ARM compiler and debugger
- Perform on-target rapid prototyping of Simulink models using the FreeRTOS port for the RM57Lx processors, as well as a limited peripheral block library for theTI Hercules RM57Lx Launchpad.
- Tune parameters on, and monitor data from, a Simulink model running on the TI Hercules RM57Lx Launchpad (External mode).
- Profile task and function execution times of executables running in real time on the hardware
Embedded Coder hardware support packages offer built-in, limited, support for specific hardware, schedulers, and compilers. MathWorks Consulting Services is available to help with extensions to other environments.
Supported Hardware
The ARM Cortex-R processor families compatible with Embedded Coder ANSI/ISO C-code generation include:
- Cortex–R5
- Cortex–R7
- Cortex–R8
Platform and Release Support
See the hardware support package system requirements table for current and prior version, release, and platform availability.
View enhancements and bug fixes in release notes.
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