Platform Silicon Labs EFM32: 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.
[env:tb_sense_12] platform = siliconlabsefm32 board = tb_sense_12
You can override default Thunderboard Sense 2 Sensor-to-Cloud Advanced IoT settings per build environment using
board_*** option, where
*** is a JSON object path from
board manifest tb_sense_12.json. For example,
[env:tb_sense_12] platform = siliconlabsefm32 board = tb_sense_12 ; change microcontroller board_build.mcu = EFR32MG12P432F1024 ; change MCU frequency board_build.f_cpu = 40000000L
Thunderboard Sense 2 Sensor-to-Cloud Advanced IoT supports the next uploading protocols:
Default protocol is
You can change upload protocol using upload_protocol option:
[env:tb_sense_12] platform = siliconlabsefm32 board = tb_sense_12 upload_protocol = mbed
PIO Unified Debugger - “1-click” solution for debugging with a zero configuration.
You will need to install debug tool drivers depending on your system. Please click on compatible debug tool below for the further instructions and configuration information.
Thunderboard Sense 2 Sensor-to-Cloud Advanced IoT has on-board debug probe and IS READY for debugging. You don’t need to use/buy external debug probe.
|Black Magic Probe|
|mbed||The mbed framework The mbed SDK has been designed to provide enough hardware abstraction to be intuitive and concise, yet powerful enough to build complex projects. It is built on the low-level ARM CMSIS APIs, allowing you to code down to the metal if needed. In addition to RTOS, USB and Networking libraries, a cookbook of hundreds of reusable peripheral and module libraries have been built on top of the SDK by the mbed Developer Community.|