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Investigation of the Impact of Power Granularity on Chip Thermal Modeling Using White Noise Analysis

机译:使用白噪声分析研究功率粒度对芯片热建模的影响

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In this paper, we investigate the impact of the granularity of the power distribution for accurately predicting semiconductor chip temperature fields. Specifically, we calculate the transfer functions between power distributions and resulting temperature maps for various microprocessor packages and cooling conditions, which establish a minimum granularity required for accurate thermal analysis. The purpose of this paper is twofold: First, we like to provide some general guidelines for the impact of different power granularities on the global chip temperatures and second we intend to spike a broader discussion about to which extent small heating effects can affect chip temperatures for circuits under full operation. As such this work is not only beneficial for package and cooling solution engineering but is also important to circuit designers and computer architects in their battle against hotspots in microprocessors.
机译:在本文中,我们研究了功率分布粒度对准确预测半导体芯片温度场的影响。具体来说,我们针对各种微处理器封装和冷却条件计算功率分布与所得温度图之间的传递函数,从而确定了精确热分析所需的最小粒度。本文的目的是双重的:首先,我们希望提供一些有关不同功率粒度对整体芯片温度的影响的一般准则,其次,我们打算加倍讨论关于较小的热效应可在多大程度上影响芯片温度的问题。电路在完全操作下。因此,这项工作不仅有益于封装和冷却解决方案工程,而且对于电路设计人员和计算机架构师与微处理器中的热点进行斗争也很重要。

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