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Data type dependent energy consumption estimation

机译:与数据类型有关的能耗估算

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Limited energy sources in embedded systems have driven the developers to search for new ways to optimise and estimate the energy consumption. Although energy estimations are usually conducted on instruction level models we have proposed a method based on the energy consumption of a C-operation. As some energy estimation techniques are meant to be applied in the very early of the design process, our proposed method is most applicable when a substantial part of the functional program code has already been programmed. This paper will show that different data types have significant impact on the overall energy consumption on microcontrollers. We apply our energy estimation methodology on different data types using a simple image processing algorithm and show that the estimate error is less than 8% with one exception.
机译:嵌入式系统中有限的能源驱使开发人员寻求优化和估算能耗的新方法。尽管能量估计通常是在指令级模型上进行的,但我们还是提出了一种基于C操作能耗的方法。由于某些能量估算技术将在设计过程的早期阶段应用,因此,当大部分功能程序代码已被编程时,我们提出的方法最适用。本文将说明不同的数据类型对微控制器的整体能耗有重大影响。我们使用一种简单的图像处理算法将能量估算方法应用于不同的数据类型,结果表明,除了一个例外,估算误差小于8%。

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