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Minimum energy point tracking using combined dynamic voltage scaling and adaptive body biasing

机译：使用组合动态电压缩放和自适应体偏置的最小能点跟踪

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摘要

Scaling the supply voltage (VDD) and threshold voltage (VTH) for minimizing the energy consumption of processors dynamically is highly desired for applications such as wireless sensor network and Internet of Things (IoT). In this paper, we refer to the pair of VDD and VTH, which minimizes the energy consumption of the processor under a given operating condition, as a minimum energy point (MEP). Since the MEP is heavily dependent on an operating condition determined by a chip temperature, an activity factor, and a performance required for the processor, it is not very easy to closely track the MEP at run-time. In this paper, a simple but effective algorithm for dynamically tracking the MEP of a processor under a situation that the operating condition of the processor dynamically varies is proposed. Gate-level simulation of a 32-bit RISC processor in a 65nm process demonstrates that the proposed algorithm tracks the MEP under a wide variety of dynamically changing operating conditions.
机译：用于最小化处理器的电源电压（VDD）和阈值电压（VTH），对于无线传感器网络和物联网（物联网），非常需要动态地测量处理器的能量消耗。在本文中，我们指的是一对VDD和VTH，这使得在给定的操作条件下最小化处理器的能量消耗，作为最小能量点（MEP）。由于MEP严重依赖于由芯片温度，活动因子和处理器所需的性能确定的操作条件，因此在运行时密切跟踪MEP并不是很容易。在本文中，提出了一种简单但有效的算法，用于在处理器的操作条件动态变化的情况下动态跟踪处理器的MEP。在65nm过程中，32位RISC处理器的门级仿真表明，所提出的算法在各种动态变化的操作条件下跟踪MEP。

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