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首页> 外文期刊>Microprocessors and microsystems >Temperature-aware dynamic voltage and frequency scaling enabled MPSoC modeling using Stochastic Activity Networks
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Temperature-aware dynamic voltage and frequency scaling enabled MPSoC modeling using Stochastic Activity Networks

机译：利用随机活动网络实现温度感知的动态电压和频率缩放功能的MPSoC建模

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摘要

The CMOS technology scaling brings new challenges in temperature, reliability, performance and leakage power. Most of the thermal management techniques compromise performance to control thermal behavior of the system by slowing down or turning off processors. In this paper, we use Stochastic Activity Networks (SANs) to model and evaluate the power consumption of a multi-core system with respect to thermal constraints. The Dynamic Voltage and Frequency Scaling (DVFS) technique is used, in our proposed model, for dynamically controlling the temperature of cores. We define multiple thresholds for the temperature of cores and apply the DVFS technique, by assigning lower voltage/frequency to the core with higher temperature. Results obtained from analytically solving the proposed SAN model are compared with the data gathered from experiments on a quad-core system. The accuracy of the proposed model in evaluating power consumption of six CPU-intensive applications is higher than 90% when compared with the experimental data.
机译：CMOS技术的扩展在温度，可靠性，性能和泄漏功率方面带来了新的挑战。大多数热管理技术都会通过减慢或关闭处理器的速度来降低性能，从而无法控制系统的热行为。在本文中，我们使用随机活动网络（SAN）来建模和评估相对于热约束的多核系统的功耗。在我们提出的模型中，动态电压和频率缩放（DVFS）技术用于动态控制铁芯温度。我们为铁心温度定义了多个阈值，并通过将较低的电压/频率分配给温度较高的铁心来应用DVFS技术。通过分析解决所提出的SAN模型获得的结果与在四核系统上的实验收集的数据进行了比较。与实验数据相比，该模型在评估六个CPU密集型应用程序的功耗方面的准确性高于90％。

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