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A convex optimization framework for leakage aware thermal provisioning in 3D multicore architectures

机译:凸优化框架,用于3D多核体系结构中的泄漏感知热供应

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Three dimensional integrated circuits present an intriguing challenge for both circuit and system engineers due to their diverse cooling efficiency among the stacked dies. Several recent proposals advocate multiple techniques for thermal management of 3D ICs at different levels of the design, while operating within the confines of thermal heterogeneity. In this paper, we analyze for the first time, the role of thermal heterogeneity on the energy efficiency of the system by incorporating temperature dependent leakage power.We develop a novel convex optimization framework to optimize the energy efficiency in 3D ICs incorporating: (a) leakage aware thermal provisioning using temperature dependent full-chip leakage model, (b) heat flow in vertically stacked systems using a grid based compact thermal model, and (c) a concrete application for workload provisioning in 3D multicore systems. Detailed simulation based experiments with our proposed optimization framework shows 3-15% improvement in the energy efficiency of a typical multicore system organized as 3D stacked dies.
机译:三维集成电路由于其在堆叠裸片之间的不同冷却效率而对电路和系统工程师都提出了一个极具挑战性的挑战。最近的一些提案主张在设计的不同层次上同时在热异质性范围内运行的3D IC热管理的多种技术。本文中,我们首次通过结合温度相关的泄漏功率来分析热异质性对系统能量效率的作用。我们开发了一种新颖的凸面优化框架,以优化3D IC的能量效率,其中包括:使用取决于温度的全芯片泄漏模型进行泄漏感知的热供应,(b)使用基于网格的紧凑型热模型在垂直堆叠系统中的热流,以及(c)3D多核系统中工作负载供应的具体应用。使用我们提出的优化框架进行的基于详细仿真的实验表明,组织为3D堆叠管芯的典型多核系统的能效提高了3-15%。

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