Silicon Labs EFM32

Configuration:

platform = siliconlabsefm32

Silicon Labs EFM32 Gecko 32-bit microcontroller (MCU) family includes devices that offer flash memory configurations up to 256 kB, 32 kB of RAM and CPU speeds up to 48 MHz. Based on the powerful ARM Cortex-M core, the Gecko family features innovative low energy techniques, short wake-up time from energy saving modes and a wide selection of peripherals, making it ideal for battery operated applications and other systems requiring high performance and low-energy consumption.

For more detailed information please visit vendor site.

Examples

Examples are listed from Silicon Labs EFM32 development platform repository:

Debugging

Debugging - “1-click” solution for debugging with a zero configuration.

Tools & Debug Probes

Supported debugging tools are listed in “Debug” column. For more detailed information, please scroll table by horizontal. You can switch between debugging Tools & Debug Probes using debug_tool option in “platformio.ini” (Project Configuration File).

Warning

You will need to install debug tool drivers depending on your system. Please click on compatible debug tool below for the further instructions.

On-Board Debug Tools

Boards listed below have on-board debug probe and ARE READY for debugging! You do not need to use/buy external debug probe.

Name

MCU

Frequency

Flash

RAM

EFM32GG-STK3700 Giant Gecko

EFM32GG990F1024

48MHz

1MB

128KB

EFM32LG-STK3600 Leopard Gecko

EFM32LG990F256

48MHz

256KB

32KB

EFM32WG-STK3800 Wonder Gecko

EFM32WG990F256

48MHz

256KB

32KB

EFM32ZG-STK3200 Zero Gecko

EFM32ZG222F32

24MHz

32KB

4KB

SLSTK3400A USB-enabled Happy Gecko

EFM32HG322F64

25MHz

64KB

8KB

SLSTK3401A Pearl Gecko PG1

EFM32PG1B200F256GM48

40MHz

256KB

32KB

SLSTK3701A Giant Gecko S1

EFM32GG11B820F2048GL192

48MHz

2MB

512KB

Thunderboard Sense 2 Sensor-to-Cloud Advanced IoT

EFR32MG12P432F1024

40MHz

1MB

256KB

Stable and upstream versions

You can switch between stable releases of Silicon Labs EFM32 development platform and the latest upstream version using platform option in “platformio.ini” (Project Configuration File) as described below.

Stable

; Latest stable version
[env:latest_stable]
platform = siliconlabsefm32
board = ...

; Custom stable version
[env:custom_stable]
platform = siliconlabsefm32@x.y.z
board = ...

Upstream

[env:upstream_develop]
platform = https://github.com/platformio/platform-siliconlabsefm32.git
board = ...

Packages

Name

Description

framework-mbed

Arm Mbed OS is a platform operating system designed for the internet of things

framework-zephyr

Zephyr is a new generation, scalable, optimized, secure RTOS for multiple hardware architectures

framework-zephyr-canopennode

Zephyr module for CANopenNode - a free and open source CANopen Stack

framework-zephyr-civetweb

Zephyr module for CivetWeb Embedded C/C++ web server

framework-zephyr-cmsis

Software Interface Standard for Arm Cortex-based Microcontrollers and Zephyr framework

framework-zephyr-fatfs

Zephyr module for FATFS filesystem

framework-zephyr-hal-silabs

SiliconLabs HAL for Zephyr framework

framework-zephyr-libmetal

Zephyr module for HAL abstraction layer used by open-amp

framework-zephyr-littlefs

Zephyr module for littlefs filesystem

framework-zephyr-loramac-node

Zephyr module for LoRaWAN endpoint stack implementation

framework-zephyr-lvgl

Zephyr module for LittlevGL - an Open-source Embedded GUI Library

framework-zephyr-mbedtls

mbedTLS module for Zephyr

framework-zephyr-mcuboot

Zephyr module for MCUboot - a secure bootloader for 32-bit MCUs

framework-zephyr-mcumgr

Zephyr module for mcumgr management library for 32-bit MCUs

framework-zephyr-mipi-sys-t

Zephyr module for MIPI System Software Trace

framework-zephyr-open-amp

Zephyr module for Open Asymmetric Multi Processing (OpenAMP) framework

framework-zephyr-openthread

OpenThread module for Zephyr

framework-zephyr-segger

Zephyr module for Segger RTT

framework-zephyr-tinycbor

Zephyr module for Concise Binary Object Representation Library

framework-zephyr-tinycrypt

The TinyCrypt Library provides an implementation for constrained devices of a minimal set of standard cryptography primitives for Zephyr framework

framework-zephyr-trusted-firmware-m

Trusted Firmware M provides a reference implementation of secure world software for ARMv8-M and Zephyr framework

tool-cmake

CMake is an open-source, cross-platform family of tools designed to build, test and package software

tool-dtc

Device tree compiler

tool-gperf

GNU gperf is a perfect hash function generator

tool-jlink

Software and Documentation Pack for SEGGER J-Link debug probes

tool-ninja

Ninja is a small build system with a focus on speed

toolchain-gccarmnoneeabi

GNU toolchain for Arm Cortex-M and Cortex-R processors

Warning

Linux Users:

Windows Users:

Please check that you have a correctly installed USB driver from board manufacturer

Frameworks

Name

Description

Mbed

Arm Mbed OS is an open source embedded operating system designed specifically for the ‘things’ in the Internet of Things. It includes all the features you need to develop a connected product based on an Arm Cortex-M microcontroller, including security, connectivity, an RTOS and drivers for sensors and I/O devices

Zephyr RTOS

The Zephyr Project is a scalable real-time operating system (RTOS) supporting multiple hardware architectures, optimized for resource constrained devices, and built with safety and security in mind

Boards

Note

Silicon Labs

Name

Debug

MCU

Frequency

Flash

RAM

EFM32GG-STK3700 Giant Gecko

On-board

EFM32GG990F1024

48MHz

1MB

128KB

EFM32LG-STK3600 Leopard Gecko

On-board

EFM32LG990F256

48MHz

256KB

32KB

EFM32WG-STK3800 Wonder Gecko

On-board

EFM32WG990F256

48MHz

256KB

32KB

EFM32ZG-STK3200 Zero Gecko

On-board

EFM32ZG222F32

24MHz

32KB

4KB

SLSTK3400A USB-enabled Happy Gecko

On-board

EFM32HG322F64

25MHz

64KB

8KB

SLSTK3401A Pearl Gecko PG1

On-board

EFM32PG1B200F256GM48

40MHz

256KB

32KB

SLSTK3701A Giant Gecko S1

On-board

EFM32GG11B820F2048GL192

48MHz

2MB

512KB

Thunderboard Sense 2 Sensor-to-Cloud Advanced IoT

On-board

EFR32MG12P432F1024

40MHz

1MB

256KB