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Thermal-aware job allocation and scheduling for three dimensional chip multiprocessor

机译:三维芯片多处理器的热感知作业分配和调度

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In this paper, we propose a thermal-aware job allocation and scheduling algorithm for three-dimensional (3D) chip multiprocessor (CMP). The proposed algorithm assigns hot jobs to the cores close to the heat sink and cool jobs to the cores far from the heat sink, subject to thermal constraints. The direct effect of the proposed algorithm on a 3D-CMP system is that, the heat from hot jobs is removed off the chip faster than the temperature-aware methods. Therefore we are able to keep the chip cooler and in better thermal condition. Experimental results show that, comparing to the temperature-aware method, our algorithm achieves: 1) less hot spots; 2) better performance; 3) smaller temporal temperature variation; 4) lower peak temperature. The proposed algorithm reduces hot spots by more than 95% when workload contains cool jobs; and by 36% when workload does not contain cool jobs. It also boosts the system performance by 5% on average under various workloads. The temporal temperature variation is reduced by 60% and its standard deviation is decreased by 50%. In addition, the proposed algorithm achieves 1.8°C ~5°C reduction in peak temperature.
机译:在本文中,我们提出了一种用于3D(3D)芯片多处理器(CMP)的热感知作业分配和调度算法。所提出的算法在受热约束的情况下,将热作业分配给靠近散热器的磁芯,将冷作业分配给远离散热器的磁芯。所提出的算法在3D-CMP系统上的直接效果是,比温度感知方法更快地将热作业中的热量从芯片上去除。因此,我们能够使芯片保持较低的温度,并保持更好的散热条件。实验结果表明,与温度感知方法相比,我们的算法实现了:1)热点更少; 2)性能更好; 3)较小的时间温度变化; 4)降低峰值温度。当工作负载包含凉爽的工作时,提出的算法可将热点减少95%以上;当工作负载不包含很酷的工作时降低36%。在各种工作负载下,它还可将系统性能平均提高5%。瞬时温度变化降低了60%,其标准偏差降低了50%。此外,提出的算法可实现峰值温度降低1.8°C〜5°C〜5°C。

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