Abstract
Embedded systems are portable battery powered devices that have limited power resource. Hence, most of embedded systems need to meet energy constraint. Performance and energy consumption are the most important metrics for embedded system design. Estimation of performance, energy utilization and its validation are essential for embedded system design. Attempt has been made to precisely measure software energy consumption by three methods on ARM Cortex M4 processor. The results are validated with five benchmark programs. Tedious calculation of inter instruction cost has been minimized by taking it as certain percent of total energy. Percentage error between actual and estimated energy is found to be less than 5%.
Highlights
An Embedded system can be electronic system or a computer system designed to perform a particular order of task(s) or a specific task
As many embedded systems are powered by a battery, the power consumption has to be very low
As software energy contributes significantly to system energy, accurate energy estimation is necessary for system energy optimization
Summary
An Embedded system can be electronic system or a computer system designed to perform a particular order of task(s) or a specific task. It is specially designed to perform specific tasks in the most efficient way. Embedded systems are designed to perform specific tasks. Embedded systems have very limited resources, the memory. They do not have secondary storage devices. They cannot be programmed to perform anything other than the tasks for which they are designed. As many embedded systems are powered by a battery, the power consumption has to be very low. With increasing complexities of functionalities and end user expectation of longer battery life, power has become critical parameter for design consideration. Accurate models for software power, energy consumed during software execution by the processor, are essential for design of power optimum software structure. As software energy contributes significantly to system energy, accurate energy estimation is necessary for system energy optimization
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