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A memory-aware energy saving algorithm with performance consideration for battery-enabled embedded systems

机译:内存感知的节能算法,针对电池供电的嵌入式系统具有性能考虑

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Dynamic voltage and frequency scaling is an important mechanism for reducing the energy consumption of a processor while tasks are running. Our studies indicated that the lowest energy consumption usually appears at some frequency other than the lowest frequency. In addition, there exists an inverse relationship between memory access rate and the frequency which can minimize the energy consumption. A correlation equation can thus be deduced from the relationship and used at task execution time to find a frequency which tends to minimize the energy consumption. In this paper, an energy saving DVFS algorithm based on the correlation equation is proposed. It maintains the performance at a reasonable level. The algorithm has been implemented on Linux as a user-space power manager. The experiment results show that our algorithm performed better than the commonly used Linux Ondemand DVFS algorithm, according to the energy-delay production metric.
机译:动态电压和频率缩放是减少任务运行时处理器能耗的重要机制。我们的研究表明,最低能耗通常出现在除最低频率以外的某个频率上。另外,在存储器访问速率和频率之间存在反比关系,其可以使能量消耗最小化。因此,可以从该关系推导相关方程,并在任务执行时使用该方程来找到倾向于使能量消耗最小化的频率。提出了一种基于相关方程的节能DVFS算法。它可以将性能维持在合理的水平。该算法已在Linux上作为用户空间电源管理器实现。实验结果表明,根据能量延迟产生指标,该算法的性能优于常用的Linux Ondemand DVFS算法。

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