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Physical-aware predictive dynamic thermal management of multi-core processors

机译:多核处理器的物理感知预测性动态热管理

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摘要

The advances in silicon process technology have made it possible to have processors with larger number of cores. The increment of cores number has been hindered by increasing power consumption and heat dissipation due to high power expenditure in a small area die size. The high temperature can cause degradation in performance, reliability, transistor ageing, transition speed and increase in leakage current. In this paper, we present a method which considers different thermal behavior of cores and uses both physical sensors and performance counters simultaneously to improve thermal management of both SMT multi-core processors with a physical sensor per core and Non-SMT multi-core processors with only one physical sensor for the processor. The experimental results indicate that our technique can significantly decrease the average and peak temperature in most cases compared to Linux standard scheduler, and two well-known thermal management techniques: PDTM, and TAS.
机译:硅工艺技术的进步使得拥有更多核的处理器成为可能。由于在小面积裸片尺寸中的高功率消耗,增加的功耗和散热阻碍了芯数的增加。高温会导致性能,可靠性,晶体管老化,过渡速度下降以及泄漏电流增加。在本文中,我们提出了一种方法,该方法考虑了内核的不同热行为,并同时使用物理传感器和性能计数器来改善每个内核具有物理传感器的SMT多核处理器和具有内核的非SMT多核处理器的热管理。处理器只有一个物理传感器。实验结果表明,与Linux标准调度程序和两种著名的热管理技术(PDTM和TAS)相比,我们的技术在大多数情况下可以显着降低平均温度和峰值温度。

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