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引用次数: 0

摘要

今天的中央处理单元(CPU)技术使处理器能够根据当前CPU负载、内存负载或操作系统请求动态调整其电压和时钟频率。如果应用程序的功率分布可以快速准确地估计或确定,则可以实现更高的节能。如果在执行之前完全知道应用程序的功率分布,那么使用离线动态电压和频率缩放(DVFS)算法可以实现最大/最优的功耗节省。问题是,如何在执行之前确定应用程序的完整功率配置以及可能节省多少功率。在本文中,我们讨论了确定应用程序的全功率分布的方法,并使用离线DVFS算法计算随机生成和实际情况下的潜在节能。
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Low Power Design for DVFS Capable Software
Today's central processing unit (CPU) technology makes it possible for a processor to adjust its voltage and clock frequency dynamically depending on its current CPU load, memory load, or operating system requests. Higher energy saving is possible if the application's power profile can be estimated or determined fast and accurate. If the application's power profile is completely known prior to execution, then maximum/optimum power saving is possible using off-line dynamic voltage and frequency scaling (DVFS) algorithms. The question is, how to determine full power-profile of an application prior to execution and how much power saving is possible. In this paper, we discuss the methodology to determine full power profile of an application and calculate potential energy savings using off-line DVFS algorithms for randomly generated and real-life cases.
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