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A System Level Fine-Grained Dynamic Voltage and Frequency Scaling for portable embedded systems with multiple frequency adjustable components

机译:具有多种频率可调组件的便携式嵌入式系统的系统级细粒型电压和频率缩放

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This paper presents a system level dynamic voltage and frequency scaling (DVFS) technique targeted toward non real-time applications running on a portable embedded system with multiple frequency-adjustable components. The key idea is to balance the frequency of processor core and memory. Some applications may be I/O bound, some may be CPU bound, and the others may be Memory bound. The proposed DVFS technique relies on pre-collected statistical information of different applications to calculate the expected workload for each coming time slice, and then, it adjusts the frequency of processor core, memory, and system bus to meet the timing constraints (with acceptable penalty) and achieves the maximum energy saving. The proposed technique has been tested on the PXA27x (XScale based) [8] embedded platform and the result was exciting, the processor energy saving can achieve up to 70% in memory bound applications, and the timing performance degradation was less than 5%. In CPU bound applications, the energy saving is relatively small, about 20~40%.
机译:本文介绍了针对具有多个可调节组件的便携式嵌入式系统上运行的非实时应用的系统级动态电压和频率缩放(DVFS)技术。关键的想法是平衡处理器核心和内存的频率。有些应用程序可以是I / O绑定,有些则可以是CPU绑定,而其他应用程序可能是内存绑定。所提出的DVFS技术依赖于不同应用程序的预先收集的统计信息来计算每个未来时间切片的预期工作负载,然后调整处理器核心,内存和系统总线的频率,以满足时序约束(具有可接受的惩罚)并达到最大节能。所提出的技术已经在PXA27X上进行了测试(基于XScale)[8]嵌入式平台,结果是令人兴奋的,处理器节能可以在内存绑定应用中获得高达70%,并且定时性能下降小于5%。在CPU绑定应用中,节能相对较小,约20〜40%。

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