Embedded engineer and professor Erich Styger has demonstrated precisely what you could contemplate when optimizing an embedded challenge for energy consumption — strolling via options that drop a easy Arm Cortex-M0+ challenge from 2,390nWh to simply 70nWh per cycle.
“On the Lucerne College of Utilized Sciences and Arts I am instructing the subject of low energy optimizations in a lecture and course with labs. I’ve been requested if I might share and publish components of it on my weblog,” Styger explains of his newest article. “That method you could possibly use it on your studying or exploring methods the way to optimize an MCU [Microcontroller Unit] software for low energy. Optimizing methods for deep low energy or deep low power is a difficult activity. Nonetheless […] it’s attainable to cut back power consumption by an element of 100 or extra.”
Erich Styger has written a hands-on information to optimizing a microcontroller challenge for energy utilization. (📷: Erich Styger)
Styger’s demonstration takes place on an NXP LPC804 microcontroller, that includes an Arm Cortex-M0+ microcontroller core operating at 15MHz with 4kB of static RAM (SRAM) and 32kB of flash reminiscence, programmed utilizing the NXP MCUXpresso IDE through an MCU-Hyperlink Professional — offering each programming and debugging capabilities alongside straightforward power measurements.
“As a foremost rule: to have a low energy design, then this needs to be utilized from the very first starting,” Styger explains. “[This] means it needs to be a part of the {hardware} design and software program design. Making use of low energy on the finish received’t give nice outcomes. Nonetheless it’s attainable to cut back power and energy consumption for an current design, though most likely with restricted outcomes.”
To show it, Styger developed a easy software — activate an LED, carry out just a few types to simulate practical work, and switch the LED off once more — and measured its power utilization with out optimization: 2,390nWh. By making this system execute from RAM quite than flash, this was lowered to 1,470nWh whereas additionally enhancing its efficiency. Switching to 1.8V operation from 3.3V lowered issues nonetheless additional, to 1,282nWh, whereas dropping the microcontroller’s clock pace from 15MHz to simply 1MHz drops it to 726nWh.
The ultimate optimization drops the facility utilization to simply 10nWh — regardless of operating the microcontroller at full pace. (📷: Erich Styger)
An fascinating optimization follows, to carry the facility draw down to simply 403nWh: shifting away from a bare-metal implementation of the challenge to at least one operating atop the FreeRTOS real-time working system to benefit from its timing and sleep capabilities. Lowering the working system’s tick frequency drops the facility draw once more, to 307nWh, whereas configuring it for tickless idle leads to a fair higher 288nWh.
Code optimizations observe, reducing the draw to 211nWh — dropped additional to 162nWh utilizing the microcontroller’s low-power wakeup timer. Enabling deep sleep lowers the draw to 115nWh, earlier than Styger’s ultimate optimization: telling the microcontroller to enter power-down mode, quite than sleep, and clocking the chip again as much as 15MHz to finish the work quicker, hitting a formidable 10nAh — greater than 200 occasions lower than the unique implementation’s energy requirement.
The complete write-up, together with supply code, is out there on Styger’s weblog.
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