CTSIM:基于卷积的热模拟迭代方法

R. Mittal, R. Coutts, M. Saeidi
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引用次数: 2

摘要

由于缺乏主动冷却和繁重的计算要求,移动处理器推动了热设计的极限。必须分析许多不同的用例应用,以了解所涉及的热风险,包括器件泄漏功率,它与温度呈指数依赖关系。在不考虑泄漏功率的情况下,商业计算流体动力学(CFD)求解器通常需要4个多小时才能获得可接受的精度。本文提出了一种采用卷积和迭代方法的紧凑热求解器(CTS)。CTSIM与商用求解器一样精确,在用例和基准分析的重复模拟时间上显著提高了速度。此外,温度对泄漏的依赖性也得到了正确的考虑。结果是一个快速和紧凑的热模型,提供商业CFD精确分析,速度提高了8000倍。
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CTSIM: Convolution-based thermal simulation using iterative methods
Mobile processors push the envelope of thermal design due to lack of active cooling and heavy computational requirements. Many different use case applications must be analyzed to understand the thermal risks involved including the device leakage power, which has an exponential dependence on temperature. Commercial computational fluid dynamic (CFD) solvers generally take more than four hours for a single smartphone simulation with acceptable accuracy without accounting the for the leakage power. In this paper, CTSIM is presented which is a compact thermal solver (CTS) which uses convolution and iterative methods. CTSIM is as accurate as commercial solvers with a significant speed improvement in repeated simulation time for use case and benchmark analysis. Additionally, the temperature dependence on leakage is also accounted for correctly. The result is a fast and compact thermal model which provides commercial CFD accurate analyses with an 8000x speed improvement.
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