The Art of Software Thermal Management for Embedded Systems
This book introduces Software Thermal Management (STM) as a means of reducing power consumption in a computing system in order to manage heat, improve component reliability and increase system safety. Readers will benefit from this pragmatic guide to the field of STM for embedded systems and its catalog of software power management techniques. Since thermal management is a key bottleneck in embedded systems design, this book focuses on root cause of heat in embedded systems: power. Since software has an enormous impact on power consumption in an embedded system, this book urges software engineers to manage heat effectively by understanding, categorizing and developing new ways to reduce static and dynamic power consumption. Whereas most books on thermal management describe mechanisms to remove heat, this book focuses on ways for software engineers to avoid generating heat in the first place.
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Absolute Maximum Ratings ACPI Adaptive Voltage Scaling Advanced Power Management Amazon Kindle Fire ambient battery Benini chip CMOS components consumes less power convection CPUfreq defined device drivers Digital Signal Processor DVFS dynamic power curve dynamic power management Dynamic Voltage electrical engineers embedded systems energy entropy fast-boot field of Software frequency and voltage Frequency Scaling DVFS heat transfer Idle mode increase input voltage integrated circuit interface Law of Dynamic Law of Thermodynamics Linux kernel low power mode low-power Management for Embedded microcontroller microprocessors Mode Manager Moore’s Law multicore Operating Performance Point operating system optimizations peripherals power and heat power and thermal power gating processor frequency slew rate SmartReflex software engineers Software Thermal Management Springer Science+Business Media static power Summary suspend switch Symmetric Multiprocessing system-wide power techniques temperature range thermal fatigue Thermal Management Framework transfer heat Voltage and Frequency Voltage Scaling AVS wake-time