Dynamic Supply and Threshold Voltage Scaling towards Runtime Energy Optimization over a Wide Operating Performance Region

Shoya Sonoda, Jun Shiomi, H. Onodera
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Abstract

This paper proposes a runtime voltage-scaling method that optimizes the supply voltage (Vdd) and the threshold voltage (Vth) under a given delay constraint. This paper refers to the optimal voltage pair as a Minimum Energy Point (MEP). This paper firstly proposes a closed-form continuous function that determines the MEP over a wide operating performance region ranging from the above-threshold region down to the subthreshold region. The MEP dynamically fluctuates depending on the operating condition determined by a given delay constraint, an activity factor and a circuit temperature. In order to track the MEP, this paper proposes a voltage scaling technique enabling to set Vdd and Vth to near the MEP without iteratively tuning the voltages based on the proposed function. Existing MEP tracking techniques iteratively tune Vdd, which may not be suitable in terms of (1) the hardware design cost for generating a number of VddS and (2) the MEP tracking time. Measurement results based on a 32-bit RISC processor fabricated in a 65-nm process technology shows that the proposed method estimates the MEP within a 5% energy error in comparison with the actual MEP operation.
面向大范围运行性能区域的运行时能量优化的动态电源和阈值电压缩放
本文提出了一种运行时电压缩放方法,在给定的延迟约束下,优化电源电压(Vdd)和阈值电压(Vth)。本文将最优电压对称为最小能量点(MEP)。本文首先提出了一种封闭形式的连续函数,该函数确定了从阈值以上区域到阈值以下区域的宽运行性能区域内的MEP。MEP根据给定的延迟约束、活度因子和电路温度确定的工作条件动态波动。为了跟踪MEP,本文提出了一种电压缩放技术,可以将Vdd和Vth设置在MEP附近,而无需根据所提出的函数迭代调整电压。现有的MEP跟踪技术迭代地调整Vdd,这可能不适合(1)产生大量Vdd的硬件设计成本和(2)MEP跟踪时间。基于65纳米工艺制造的32位RISC处理器的测量结果表明,与实际MEP操作相比,所提出的方法估计的MEP能量误差在5%以内。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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