MathWorks今天宣布了金宝app,DSP系统工具箱和Embedded Codersupport packages to generate code optimized forARM®Cortex®-M series processors. Now available with发布2013B., the MATLAB and Simulink support packages offer three levels of integration support:
- 金宝appSimulink，DSP系统工具箱和嵌入式编码器可以生成ARM CMSIS DSP库的代码，为DSP滤波器的优化性能（适用于任何ARM Cortex-M处理器）。
- Simulink and Embedded Coder can build and test the optimized code using processor-in-the-loop (PIL) testing based on GCC and the QEMU host emulator (for ARM Cortex-M3 processors).
- Simulink and Embedded Coder can generate code for device drivers, enabling hardware I/O for the STMicroelectronics STM32F4 Discovery Board (for ARM Cortex-M4 processors).
“MathWorks基于模型的设计tools are helping developers create the next generation of energy efficient and intelligent ARM-based technology,” said Richard York, director, Embedded Processor Products, ARM. “These new tools and support packages are optimized to accelerate the entire design and development process. This encompasses modelling and simulation, optimized code generation using the ARM Cortex Microcontroller Software Interface Standard (CMSIS), right through to mass production.”
“工程师通常面临使用高级工具进行快速设计的挑战，然后手动将算法重写为处理器优化的代码，”MathWorks设计自动化营销总监Paul Barnard说。“通过启用Matlab和Simulink来生成针金宝app对ARM优化的代码，这些团队可以专注于探索和迭代的设计，并在大规模生产中使用的嵌入式系统中加速原型和部署。”
The ARM optimized code offers up to a 10X execution performance improvement over ANSI/ISO C and supports MATLAB code, Simulink blocks, and DSP System Toolbox filters. ARM provides an integration that automates build and execution of the ARM optimized code, generated from Simulink, for the ARM MDK package.
Support packages for Simulink, DSP System Toolbox, and Embedded Coder are available immediately.
