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Power-composition profile driven co-synthesis with power management selection for dynamic and leakage energy reduction

机译:功率组成轮廓驱动的共合成与功率管理选择,可降低动态和泄漏能耗

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Recent research has shown that the combination of dynamic voltage scaling (DVS) and adaptive body biasing (ABB) yields high energy reductions in embedded systems. Nevertheless, the implementation of DVS and ABB requires a significant system cost, making it less attractive for many small systems. In this paper we demonstrate that it is possible to reduce this system cost and to achieve comparable energy saving to that obtained using combined DVS and ABB scheme through a co-synthesis methodology which is aware of the tasks' power-composition profile (the ratio of the dynamic power to the leakage power). In particular, the presented methodology performs a power management selection at the architectural level, i. e., it decides upon which processing elements to be equipped with which power management scheme (DVS, ABB, or combined DVS and ABB) - with the aim to achieve high energy savings at a reduced implementation cost. The proposed technique maps, schedules, and voltage scales applications specified as task graphs with timing constraints. Detailed experiments including a real-life benchmark are conducted to demonstrate the effectiveness of the proposed methodology.
机译:最近的研究表明,动态电压缩放(DVS)和自适应主体偏置(ABB)的结合可在嵌入式系统中实现高能耗的降低。但是,DVS和ABB的实施需要大量的系统成本,这使其对许多小型系统的吸引力下降。在本文中,我们证明,可以通过了解任务功率组成曲线(功率比)的共合成方法,降低该系统的成本,并实现与使用DVS和ABB组合方案所获得的节能效果相当的节能效果。动态功率到泄漏功率)。特别地,所提出的方法在架构级别(即,系统级)执行功率管理选择。例如,它决定为哪个处理元素配备哪种电源管理方案(DVS,ABB或DVS和ABB组合),目的是以降低的实现成本实现高节能。所提出的技术图,时间表和电压标度应用程序指定为具有时序约束的任务图。进行了包括真实基准的详细实验,以证明所提出方法的有效性。

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