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Stabilizing CPU Frequency and Voltage for Temperature-Aware DVFS in Mobile Devices

机译:稳定用于移动设备中温度感知DVFS的CPU频率和电压

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摘要

Recent mobile devices adopt high-performance processors to support various functions. As a side effect, higher performance inevitably leads to power density increase, eventually resulting in thermal problems. In order to alleviate the thermal problems, off-the-shelf mobile devices rely on dynamic voltage-frequency scaling (DVFS)-based dynamic thermal management (DTM) schemes. Unfortunately, in the DVFS-based DTM schemes, an excessive number of DTM operations worsen not only performance but also power efficiency. In this paper, we propose a temperature-aware DVFS scheme for Android-based mobile devices to optimize power or performance depending on the option. We evaluate our scheme in the off-the-shelf mobile device. Our evaluation results show that our scheme saves energy consumption by 12.7%, on average, when we use the power optimizing option. Our scheme also enhances the performance by 6.3%, on average, by using the performance optimizing scheme, still reducing the energy consumption by 6.7%.
机译:最近的移动设备采用高性能处理器来支持各种功能。副作用是,更高的性能不可避免地导致功率密度增加,最终导致散热问题。为了缓解散热问题,现成的移动设备依赖于基于动态电压频率缩放(DVFS)的动态散热管理(DTM)方案。不幸的是,在基于DVFS的DTM方案中,过多的DTM操作不仅使性能恶化,而且使电源效率恶化。在本文中,我们为基于Android的移动设备提出了一种温度感知DVFS方案,以根据选件优化功耗或性能。我们在现成的移动设备中评估我们的方案。我们的评估结果表明,当我们使用功耗优化选项时,该方案平均可节省12.7%的能耗。通过使用性能优化方案,我们的方案还平均将性能提高了6.3%,同时仍将能耗降低了6.7%。

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