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Improving the accuracy of the leakage power estimation of embedded CPUs

机译:提高嵌入式CPU泄漏功率估计的准确性

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Previous studies have used on-chip thermal sensors (diodes) to estimate the leakage power of a CPU. However, an embedded CPU equips only a few thermal sensors and may suffer from considerable spatial temperature variances across the CPU core, and leakage power estimation based on insufficient temperature information introduces errors. According to our experiments, the conventional leakage power models may have up to 22.9% estimation error for a 70-nm embedded CPU. In this study, we first evaluated the accuracy of leakage power estimates based on thermal sensors on different locations of a CPU and suggested locations that can reduce the error to 0.9%. Then, we proposed temperature-referred and counter-tracked estimation (TRACE) that relies on temperature sensors and hardware activity counters to estimate leakage power. The simulation results demonstrated that employing TRACE could reduce the error to 3.4%. Experiments were also conducted on a real platform to verify our findings.
机译:先前的研究已经使用片上热传感器(二极管)来估计CPU的泄漏功率。但是,嵌入式CPU仅配备了几个热传感器,并且可能会在CPU内核上遭受相当大的空间温度变化,并且基于不足的温度信息的泄漏功率估计会引入误差。根据我们的实验,对于70纳米嵌入式CPU,传统的泄漏功率模型可能具有高达22.9%的估计误差。在这项研究中,我们首先基于CPU不同位置上的热传感器评估了泄漏功率估算的准确性,并建议了将误差降低至0.9%的建议位置。然后,我们提出了基于温度的参考和逆向跟踪估计(TRACE),该估计依赖于温度传感器和硬件活动计数器来估计泄漏功率。仿真结果表明,采用TRACE可以将误差降低到3.4%。实验也在真实平台上进行,以验证我们的发现。

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