周期约束下3d - mpsoc峰值温度最小化的热感知任务调度

Vivek Chaturvedi, A. Singh, Wei Zhang, T. Srikanthan
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引用次数: 15

摘要

3D-MPSoC具有出色的性能和可扩展性优势。然而,由于强大的垂直热相关性和功率密度的增加,3D-MPSoC的热挑战至关重要。在本文中,我们提出了一种新的热感知任务调度技术,该技术将智能任务映射与DVFS相结合,以最小化系统的峰值温度。特别是,当将任务映射到处理核心时,我们的方法利用了3D架构的基本热特性,并在设计时使用DVFS,然后在运行时进行简单的热优化步骤。与其他现有方法相比,我们的实验验证了我们的方法在高达14°C的峰值温度最小化方面的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Thermal-aware task scheduling for peak temperature minimization under periodic constraint for 3D-MPSoCs
3D-MPSoC offer great performance and scalability benefits. However, due to strong vertical thermal correlation and increased power density, thermal challenges in 3D-MPSoC are critical. In this paper, we propose a novel thermal aware task scheduling technique that combine intelligent task mapping with DVFS to minimize the peak temperature of the system. Particularly, our approach leverages on the fundamental thermal characteristics of 3D architecture when mapping tasks to processing cores and employing DVFS at design time followed by a simple thermal optimization step at run time. Our experiments validate the efficiency of our approach in peak temperature minimization up to 14°C compared to other existing methods.
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