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What is ARMv7E-M in Arm Cortex-M series?

Scott Allen
Last updated: September 17, 2023 1:25 pm
Scott Allen 6 Min Read
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ARMv7E-M refers to a specific architecture profile within the Arm Cortex-M series of 32-bit microcontroller CPUs. It provides a flexible and efficient architecture optimized for embedded applications requiring real-time responsiveness, high performance per MHz, and low-power operation.

Contents
Overview of ARM Cortex-M SeriesKey Features of ARMv7E-MDSP ExtensionsARMv7E-M Processor ImplementationsSoftware DevelopmentUse CasesSummary

Overview of ARM Cortex-M Series

The Arm Cortex-M series is a range of energy-efficient 32-bit RISC CPUs designed for embedded and IoT applications. The series includes ultra-low power microcontrollers for battery-powered devices as well as higher performance variants for more demanding tasks.

The Cortex-M series is divided into three architectural profiles, each optimized for different use cases:

  • ARMv6-M – Basic profile for low-cost microcontrollers
  • ARMv7-M – Mainstream profile balancing performance and power
  • ARMv7E-M – DSP-enhanced profile for digital signal processing

The ARMv7E-M architecture builds upon ARMv7-M with extensions for signal processing workloads. All three profiles use the Thumb-2 instruction set and share common programmer’s model features.

Key Features of ARMv7E-M

Here are some of the major features of the ARMv7E-M architecture profile:

  • DSP instructions – Includes digital signal processing (DSP) instructions for more efficient processing of math-intensive algorithms commonly used in audio, imaging, and communications applications.
  • Coprocessor interface – Supports tightly-coupled coprocessors to offload specialized processing tasks from the CPU.
  • Nested Vectored Interrupt Controller – NVIC provides low-latency interrupt handling with configurable priority levels.
  • Wake-up Interrupt Controller – WIC allows wake-up from low power modes on selected interrupts.
  • Memory Protection Unit – MPU provides configurable, application-based memory access permissions for improved security.
  • Bit-Banding – Allows individual bit access to memory locations, useful for setting/clearing status flags.
  • Single-cycle I/O – Peripheral register accesses take a single clock cycle for fast and deterministic I/O.

Together, these features allow ARMv7E-M processors to deliver exceptional real-time performance in embedded systems that need to handle digital signal processing along with general purpose tasks.

DSP Extensions

A major differentiation of the ARMv7E-M architecture is its DSP instructions. These include:

  • Saturating Arithmetic – Saturating add, subtract, and accumulate instructions clamp results to min/max values to avoid overflow.
  • SIMD – Single-cycle SIMD multiply instructions operate on dual 16-bit data with 32-bit result.
  • 24-bit Multiplies – Multiply instructions with 24-bit precision for improved dynamic range in audio processing.
  • Bitfield & Fractional Arithmetic – Instructions for efficiently packing/unpacking bitfields and fixed-point Q-number formats.
  • Hardware Divide – Single-cycle divide steps for both 32-bit and 16-bit values.

Together, these DSP capabilities reduce the cycles needed for common signal processing algorithms, enabling ARMv7E-M cores to deliver much higher DSP performance at equivalent clock speeds.

ARMv7E-M Processor Implementations

The ARMv7E-M architecture has been implemented in several Arm Cortex-M series processors, including:

  • Cortex-M4 – Includes DSP and FPU, widely used in motor control, industrial, audio applications.
  • Cortex-M7 – Highest performance M-series core with DSP, FPU, MMU, and cache.
  • Cortex-M23 – Smallest M-series core with DSP, optimized for tightly constrained applications.
  • Cortex-M33 – Adds Arm TrustZone security extensions for trusted execution environments.
  • Cortex-M35P – Adds instruction cache, tightly couples TCMs for real-time applications requiring extreme determinism.

Silicon vendors integrate these ARMv7E-M cores along with application-specific peripherals and programmable logic in their microcontroller products. These chips power a wide range of embedded and IoT endpoints.

Software Development

The ARMv7E-M architecture maintains compatibility across the Cortex-M series using the same programmer’s model. This allows developers to leverage their expertise across multiple microcontroller families.

Software development is facilitated through the extensive Arm development ecosystem. This includes:

  • Compiler Toolchains – GCC, Arm Compiler, IAR, Keil MDK-ARM
  • Debug Probes – CMSIS-DAP, Segger J-Link
  • RTOS – FreeRTOS, Arm CMSIS-RTOS
  • Software Packs – CMSIS libraries, middleware

The uniformed CMSIS APIs enable software reuse across ARM Cortex-M vendors. Many development environments also include simulator support for testing software without hardware.

Use Cases

The ARMv7E-M architecture is ideal for embedded systems that need to process streaming sensor data or multimedia content. Example applications include:

  • IoT and Edge Devices – Predictive maintenance, voice assistants, smart sensors
  • Wearables – Hearables, smartwatches, fitness trackers
  • Industrial – Motor control, machine vision, predictive maintenance
  • Medical – Ultrasound, digital stethoscopes, EKG analysis
  • Automotive – Voice recognition, vehicle tracking, Bluetooth connectivity
  • Consumer – Wireless earbuds, voice recorders, home automation

The combination of DSP performance, real-time capabilities, low-power operation, and software maturity has made ARMv7E-M one of the most ubiquitous architectures in embedded and edge applications.

Summary

The ARMv7E-M architecture delivers an optimal blend of signal processing capabilities and real-time responsiveness for resource constrained embedded systems. Its DSP extensions provide a significant performance boost for math-intensive algorithms compared to standard ARM cores. The wide range of low-power ARMv7E-M processors available, along with robust development tools and software support, make it an ideal choice for connecting intelligence at the IoT edge.

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