23
Intended Learning Outcomes for this Topic
3
➌ Quantify power dissipation, heat, performance, and noise in embedded systems
By the end of this topic, you will be able to:
➋ Identify the key sources of power dissipation in an embedded system
➍ Design more power-, performance-, and error-efficient embedded systems
➊ Recall the analytic relationships governing power and performance in CMOS circuits
23
4
“You can only analyze the data you
have. Be strategic about what to
gather and how to store it.”
— Marie Skłodowska Curie.
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Nutshell: Measurement of System from Topic 11
5
23
Quantifying Efficiency, Part 1: Computation and Sensing
6
BMX055
(accelerometer,
gyroscope, and
magnetometer)
MMA8451Q
(accelerometer)
LPS25H
(pressure)
HDC1000
(humidity)
MAG3110
(magnetometer)
L3GD20H
(gyroscope)
BMP180
(pressure)
TCS3772
(light)
TMP006B
(infrared)
Si7021
(humidity and
temperature)
ADXL362
(accelerometer)
ARM Cortex-M0+
(processor)
Size reference:
2nd Generation
1st Generation
Miniature Warp subset
Warp
Recall, from
Topic 11
Next: Quantifying the
efficiency of this system
42
7
42
8
23
9 9
0.6 grams (batteries included)
Quantifying Efficiency
1 of 3
: Mass
14 mm
8 mm
10
Next: Quantifying Power Dissipation…
➋ Battery (1 of 2)
➍ Flash Memory
➎ Temperature-compensated realtime clock
➌ Battery (2 of 2)
➏ Temperature, humidity, pressure,
and gas (CO and VOCs) sensor
➊ ARM Cortex-M0+
➐ Connector
23
Quantifying Efficiency
2 of 3
: Power Dissipation
11 11
23
Measuring the Sleep / Awake Power Dissipation
12
