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ARM-based ST MCUs gain MathWorks support

Posted: 21 Feb 2013     Print Version  Bookmark and Share

Keywords:Embedded Coder  MATLAB  Simulink 

MathWorks provides the first ever Embedded Coder support, with MATLAB and Simulink, for ARM Cortex-M processor-based systems.

The joint project between ST and ARM is fully supported by MathWorks and enables software developers to create their algorithms in MATLAB and Simulink and then target, integrate, debug and test those models in a Processor In the Loop (PIL) simulation. The generated C code from Embedded Coder runs on an STM32 Evaluation Board and the debugger of the Keil Microcontroller Development Kit (MDK-ARM) interfaces directly with Simulink, further simplifying the code integration.

"Based on strong customer demand for MATLAB and Simulink support, ST aggressively developed the capabilities to go beyond pure Cortex-M processor support by creating additional peripheral blocks, further simplifying the PIL process," said Michel Buffa, General Manager Microcontroller Division, STMicroelectronics. "Moreover, enabling DSP-standard tools to run on our Cortex-M processor-based STM32 products helps our customers address a broader spectrum of opportunities."

"This initiative enables developers to easily and efficiently develop and explore numerous models before generating optimised code for their Cortex processor-based projects," said Richard York, Director of Embedded Systems Marketing, ARM. "The combination of MATLAB and Simulink, and the Keil MDK-ARM brings together two of the best software development toolchains. This is good news for developers as it will enable them to accelerate the time to market for innovative Cortex processor-based systems and products."

"MathWorks is pleased to have worked with ARM and ST to put in place the first Embedded Coder code generation support for Cortex-M processor-based systems and the Keil MDK-ARM," said Paul Barnard, design automation marketing director, MathWorks. "This is a very important first step in providing a smooth design flow for engineers using Model-Based Design with MATLAB and Simulink to develop highly optimised Cortex-M processor-based systems."

The new Embedded Coder support is now available in beta form direct from ARM for early adopters and is planned to be made available for general download in April.





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