MathWorks optimises code generation across the ARM cortex family

Mathworks has announced that MATLAB and Simulink can now generate code optimised for use across the ARM Cortex Family.

Embedded systems developers using ARM Cortex processors in the automotive, aerospace, signal processing and medical device industries can now automatically generate code, speeding execution time and reducing memory usage. This ability to generate optimised code helps small design teams extend Model-Based Design across applications and devices including motor control, power electronics, audio and communications.

Building on CMSIS library support for Cortex-R and Cortex-M cores, Embedded Coder now offers Ne10 DSP library support, which helps generate optimised DSP filter code for the full line of ARM Cortex-A-based devices. Simulink also offers built-in target support for ARM-based hardware devices including BeagleBone Black, Xilinx Zynq, STMicroelectronics Discovery Board and Freescale Freedom Board. Third-party integrations exist for other popular ARM-based devices including Texas Instruments Hercules and Analog Devices CMx40 hardware.

“Increasing interest in image processing, radar and communications is driving more use of ARM Cortex-A-based devices for a wide range of consumer and commercial devices,” said Paul Barnard, design automation director, MathWorks. “Consequently, embedded software engineers and system-level designers often need to simulate their software and systems within the same environment. The ability to generate optimised code will serve as an on-ramp to Model-Based Design for groups of engineers developing ARM-based devices by allowing them to start with modelling while knowing they can generate code for their embedded system.”