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Speed up your IoT and Smart Industry Innovations

Speed up your IoT and Smart Industry Innovations

By eeNews Europe



The introduction of the STM32MP1 multicore microprocessor series with compute and graphics support combined with power-efficient real-time control and high feature integration will facilitate development of high-performance solutions for Industrial, Consumer, Smart Home, Health and Wellness applications.

Customers can now develop a new range of applications using the new STM32 heterogeneous architecture that combines Arm® Cortex®-A and Cortex®-M cores. This flexible architecture performs fast processing and real-time tasks on a single chip, always achieving the greatest power efficiency. For example, by stopping Cortex-A7 execution and running only from the more efficient Cortex-M4, power can typically be reduced to 25%. From this mode, going to Standby further cuts power by 2.5k times – while still supporting the resumption of Linux execution in 1 to 3 seconds, depending on the application.

The STM32MP1 embeds a 3D Graphics Processor Unit (GPU) to support Human Machine Interface (HMI) displays. It also supports a wide range of external DDR SDRAM and Flash Memories. Moreover, the STM32MP1 embeds a large set of peripherals that can be seamlessly allocated either to Cortex-A / Linux or Cortex-M / Real-time activities. The STM32MP1 series are available in a range of BGA packages to support the lowest PCB cost structure and use the smallest board space.

To accelerate development, ST is releasing the OpenSTLinux Distribution as a mainlined open-source Linux distribution. OpenSTLinux has already been reviewed and accepted by the Linux community: Linux Foundation, Yocto project® and Linaro. The distribution contains all the essential building blocks for running software on the application-processor cores.

Enhanced STM32Cube tools, specially upgraded from the STM32Cube package for Cortex-M microcontrollers, features all necessary characteristics – and more — to accelerate microprocessor development using Arm Cortex-A-core MPUs. ST’s solution simplifies setting up MPU projects and configuring the on-chip resources.

More information can be found at: www.st.com

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