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he wireless gecko mcus to trace network traffic and packets throughout nodes on the network efm32 is supported by multiple third party real time operating system rtos and software libraries drivers and stacks like micro controller operating systems uc os micrium freertos gnu chopstx embos segger and mbed os arm 17 in october 2016 silicon labs acquired micrium in addition to iot critical middleware stacks such as tcp ip micrium provides a rtos that enables embedded iot designs to handle task management in real time getting started edit efm32 starter kits are available 18 for evaluation purposes and to gain familiarity with the portfolio each starter kit contains sensors and peripherals that help illustrate device capabilities as well as serve as a starting point for application development using simplicity studio software also grants access to kit information and the ability to program the starter kit with demos and code examples most starter kits contain eeprom with board ids to enable automated setup when a kit is connected to simplicity studio ide some of the efm32 kits are arm mbed enabled 19 these kits support arm mbed 20 out of the box and are supported in simplicity studio development tools and community forums featuring the giant gecko mcu with 1024kb of flash and 93 gpio the efm32 giant gecko starter kit shown below is one of the latest starter kit offerings in the efm32 family happy gecko stk other efm32 starter kits include starter kit stk part number main stk features lcd type battery power option pearl gecko stk also used for jade gecko mcu slstk3401a usb j link debugger relative humidity and temperature sensor 2 user buttons memory lcd yes wonder gecko stk efm32wg stk3800 usb j link debugger 32 mb flash 20 pin expansion header ambient light sensor lc metal sensor 2 user buttons 160 segment lcd yes giant gecko stk efm32gg stk3700 usb j link debugger 32 mb flash 20 pin expansion header ambient light sensor lc metal sensor 2 user buttons 160 segment lcd yes leopard gecko stk efm32lg stk3600 usb j link debugger 32 mb flash 20 pin expansion header ambient light sensor lc metal sensor 2 user buttons 160 segment lcd yes gecko stk efm32 g8xx stk usb j link debugger 20 pin expansion header 2 user buttons and cap touch slider 4x40 lcd yes tiny gecko stk efm32tg stk3300 usb j link debugger lesense demo ready light lc and touch sensors 2 user buttons 8x20 lcd yes happy gecko stk slstk3400a usb j link debugger 20 pin expansion header relative humidity and light sensor 2 user buttons and 2 touch buttons 128x128 pixel memory lcd yes zero gecko stk efm32zg stk3200 usb j link debugger 20 pin expansion header 2 user buttons and 2 cap touch pads ultra low power 128x128 pixel memory lcd yes energy modes edit the efm32 is designed to achieve a high degree of autonomous operation in the low energy modes multiple ultralow energy modes are available for turning energy usage and significantly reducing power consumption energy mode 0 active run mode the arm cortex m cpu fetches and executes instructions from flash or ram and all low energy peripherals can be enabled efm32 can quickly enter one of the low energy modes from em0 effectively halting the cpu and flash memory after a wake up all low energy modes return to em0 within 2 µs making it easy to enter the low energy mode and return to 32 bit performance when needed power consumption in em0 114 µa mhz energy mode 1 sleep mode the clock to the cpu is disabled effectively reducing the energy needed for operation while maintaining all low energy peripheral including flash and ram functionality by using the peripheral reflex system prs and dma the system can collect and output peripheral data without cpu intervention this autonomous behavior enables the system to remain in em1 for long periods of time thereby increasing battery life additionally the low leakage ram ensures full data retention power consumption in em1 48 µa mhz energy mode 2 deep sleep mode efm32 mcus offer a high degree of autonomous operation while keeping energy consumption low the high frequency oscillator is turned off in em2 however a 32 khz oscillator and the real time clock are available for the low energy peripherals since the arm cortex m cpu is not running in em2 the mcu performs advanced operations in sleep mode the peripherals run autonomously due to intelligent interconnection of the modules and memory the wake up time to em0 is only 2 µs and low leakage ram ensures full data retention in em2 power consumption in em2 0 9 µa energy sleep mode 3 stop mode energy mode 3 em3 tailors the energy consumption of the efm32 to maintain a very short wake up time and respond to external interrupts in em3 the low frequency oscillator is disabled but the low leakage ram ensures full data retention and the low power analog comparator or asynchronous external interrupts can wake up the device power consumption in em3 0 5 µa energy sleep mode 4 shutoff mode in this deepest energy mode available the efm32 mcu is completely shut down and the only way to wake up is with a reset this energy mode enables further energy savings for applications that do not require a rtc or ram retention energy mode 4 is available in select low energy peripherals including power on reset and external interrupts power consumption in em4 20 na core technology edit to achieve its power and energy efficiency features efm32 products utilize ultralow active and idle power fast wakeup and processing times and most important the ability to intelligently interact with peripherals and sensors autonomously without waking up the cpu and consuming more power in active run mode the efm32 only consumes 114 µa mhz while running real life code at 32 mhz and 3v supply this is also the mode where process time matters which is one of the main benefits of a 32 bit mcu working against power consumption however is maximum clock speed silicon labs carefully designs the efm32s to optimize performance and low power together by designing for maximum clock speed of 48 mhz mcus with faster clocks in the 100 mhz range will inevitably consume more power in active mode beyond the energy savings in run mode the efm32 is ideal for low duty cycle applications where it can take advantage of operating in lower energy states the lower energy states are outlined in the section above as em1 sleep em2 deep sleep em3 stop and em4 shutoff the autonomous peripherals peripheral reflex system and lesense are the core technologies that come into play in the lower energy modes the autonomous peripheral feature ensures that peripheral devices can operate without waking up the cpu there is also extensive direct memory address dma support with up to 16 channels depending on the efm32 the peripheral reflex system boosts the capability of the autonomous peripherals allowing for flexible configuration to create complex and powerful interconnections that bypass the cpu lesense is a unique efm32 feature that allows the mcu to monitor up to 16 sensors in deep sleep mode the efm32 can do resistive sensing capacitive sensing and inductive sensing in this mode if needed the efm32 can wake up from deep sleep and engage the cpu in less than two microseconds application examples of low energy gecko technology edit adc sensing applications 21 temperature in a demonstration with the wonder gecko mcu and a standard temperature thermistor setting the adc to sample the thermistor every second at 1 hz rate equates to 1 3 μa average current in the real world this would equate to a 220 ma hr cr2032 coin cell battery lasting for close to 20 years this same application could be implemented with lesense and preset thresholds instead of using regular time interval adc samples in the case of lesense and irregular triggers a threshold trigger rate of 1 hz would still produce average current of 1 5 μa which equates to 16 85 year battery life low energy pulse counter for metrology using the low energy pulse counter the efm32 could also be used in pulsed sensing applications for example with a magnetic hall effect sensor the efm32 can convert rotational position to quantified speed or flow rate this is a common situation in water or heat flow metering the efm32 can be used in stop mode em3 to count pulses and then calculate flow operating power consumption in this state could be as low as 650 na 3vdc which has significant positive implications for battery operated meters history edit the efm32 microcontroller family is one of the two products of energy micro the other being efr4d draco soc radios in april 2008 energy micro announced that it licensed the arm cortex m3 core 22 in october 2009 energy micro announced the efm32 gecko mcu family efm32g series based on cortex m3 23 in december 2009 energy micro announced development kit for its efm32 gecko mcu family in february 2010 energy micro announced efm32 tiny gecko mcus were announced in march 2010 energy micro announced the efm32 tiny gecko mcu family efm32tg series based on cortex m3 in march 2010 energy micro announced low cost efm32 gecko starter kit in july 2010 energy micro announced the efm32 giant gecko mcu family efm32gg series based on cortex m3 for memory heavy applications in november 2010 energy micro announced the simplicity studio development suite in march 2011 energy micro announced the efm32 zero gecko mcu family efm32zg series based on cortex m0 for low cost applications in september 2011 energy micro announced the efm32 leopard gecko mcu family efm32lg series based on cortex m3 in april 2013 energy micro announced the efm32 wonder gecko mcu family efm32wg series based on arm cortex m4f in june 2013 silicon labs announced the intention to acquire energy micro 24 in july 2013 silicon labs completed the acquisition of energy micro 25 development tools edit main article list of arm cortex m development tools the gecko mbed compiler is available at https developer mbed org compiler nav see also edit electronics portal arm architecture list of arm microprocessor cores arm cortex m microcontroller list of common microcontrollers embedded system single board microcontroller interrupt interrupt handler comparison of real time operating systems jtag swd references edit 32 bit mcu www silabs com archived from the original on 2015 02 28 microprocessor cores and technology arm cortex m0 cortex m3 cortex m4 smallest 32 bit arm cortex m0 microcontroller silicon labs cortex m0 efm32 32 bit microcontroller low power mcu silicon labs efm32 32 bit arm cortex m4 microcontroller silicon labs cortex m3 cortex m4 multiprotocol wireless connectivity silicon labs simplicity studio silicon labs gnu toolchain gnu arm embedded toolchain mdk version 5 products 27 november 2020 mbed os mbed development tools silicon labs silicon labs mbed mbed mbed os and efm32 silicon labs http new techeurope com 2016 06 06 manage the iot on an energy budget e2 80 8b e2 80 8b e2 80 8b e2 80 8b news arm http news silabs com silicon labs to acquire energy micro a leader in low power arm cortex based microcontrollers and radios news and press releases silicon labs archived from the original on 2013 06 11 retrieved 2013 06 07 silicon labs completes acquisition of energy micro news and press releases silicon labs archived from the original on 2016 12 02 retrieved 2016 12 01 external links edit wikimedia commons has media related to efm32 efm32 official documents efm32 official website efm32 application notes efm32 developer forum arm official documents main article arm cortex m external links efm32 starter kit videos wireless gecko multiprotocol simplicity from silicon labs wireless gecko introduction to efr32 hw development tools efm32 gecko cortex m3 starter kit from silicon labs wireless gecko sub ghz design practices from silicon labs using the bg tool to make rf testing silicon labs wireless gecko family digi key daily efm32 training videos simplicity studio ide mastering simplicity studio featuring energy profiler mastering simplicity studio configurator mastering simplicity studio network analyzer mastering simplicity studio application builder efm32 blog raising a gecko iot hero from teenage engineering puts a new spin on music iot hero tim gipson from mide students to study a new course based on efm32 choose wisely an mcu is only a good as its development tools get more from our new multiprotocol and sub ghz wireless socs with connect networking stack other arm energy micro licenses cortex m3 processor eetimes arm extends to low power applications v t e embedded arm based chips arm holdings arm architecture family list of arm cores arm cortex a arm cortex r arm cortex m list of arm cortex m development tools embedded microcontrollers cortex m0 cypress psoc 4000 4100 4100m 4200 4200ds 4200l 4200m infineon xmc1000 nordic nrf51 nxp lpc1100 lpc1200 nuvoton numicro sonix sn32f700 stmicroelectronics stm32 f0 toshiba tx00 vorago va108x0 cortex m0 cypress psoc 4000s 4100s 4100s 4100ps 4700s fm0 holtek ht32f52000 microchip atmel sam c2 d0 d1 d2 da l2 r2 r3 nxp lpc800 lpc11e60 lpc11u60 nxp freescale kinetis e ea l m v1 w0 raspberry pi rp2040 renesas synergy s1 silicon labs energy micro efm32 zero happy stmicroelectronics stm32 l0 cortex m1 altera fpgas cyclone ii cyclone iii stratix ii stratix iii microsemi actel fpgas fusion igloo e proasic3l proasic3 e xilinx fpgas spartan 3 virtex 2 3 4 cortex m3 actel smartfusion smartfusion 2 analog devices aducm300 cypress psoc 5000 5000lp fm3 fujitsu fm3 holtek ht32f microchip atmel sam 3a 3n 3s 3u 3x nxp lpc1300 lpc1700 lpc1800 on semiconductor q32m210 silicon labs precision32 silicon labs energy micro efm32 tiny gecko leopard giant stmicroelectronics stm32 f1 f2 l1 texas instruments f28 lm3 tms470 omap 4 toshiba tx03 cortex m4 microchip atmel sam 4l 4n 4s nxp freescale kinetis k w2 renesas ra4w1 ra6m1 ra6m2 ra6m3 ra6t1 cortex m4f cypress 6200 fm4 infineon xmc4000 microchip atmel sam 4c 4e d5 e5 g5 microchip cec1302 nordic nrf52 nxp lpc4000 lpc4300 nxp freescale kinetis k v3 v4 renesas synergy s3 s5 s7 silicon labs energy micro efm32 wonder stmicroelectronics stm32 f3 f4 l4 l4 wb texas instruments lm4f tm4c msp432 toshiba tx04 cortex m7f microchip atmel sam e7 s7 v7 nxp freescale kinetis kv5x stmicroelectronics stm32 f7 h7 cortex m23 microchip atmel sam l10 l11 renesas ra2e1 ra2l1 ra2e2 ra2a1 cortex m33 renesas ra4m2 ra4m3 ra4e1 ra6m4 ra6m5 ra6e1 ra6t2 real time microcontrollers cortex r4f texas instruments rm4 tms570 renesas rz t1 cortex r5f scaleo olea texas instruments rm57 xilinx zynqmp renesas rz t2m v t e microcontrollers main single board microcontroller special function register architectures 68000 8051 arc arm avr cisc mips pic risc risc v word length 4 bit am2900 cop400 marc4 pps 4 s1c6x tlcs 47 tms1000 μcom 4 8 bit 6800 68hc05 68hc08 68hc11 s08 rs08 6502 65c134 65c265 melps 740 78k 8048 8051 xc800 avr cop8 h8 pic10 12 16 17 18 st6 st7 stm8 z8 z80 ez80 rabbit 2000 tlcs 870 16 bit 68hc12 16 80186 c166 cr16 c h8s msp430 pic24 dspic r8c rl78 tlcs...