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Thermal Chips Layout Method in MCM Based on an Improved Particle Swarm Algorithm

机译:基于改进粒子群算法的MCM热芯片排布方法

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The emergence of Multichip Module(MCM) means that the development of component technology is greatly improved in number, speed and performance. Research on thermal layout optimization methods for MCM can promote its reliability, this paper established a numerical relationship model between junction temperature and coordinates of each chip. and uses ANSYS to simulate and analyze the temperature profile of the optimization results. This paper compares several typical optimization schemes based on w , and presents the improved particle swarm algorithm . Experimental results show that improved particle swarm algorithm can improve inertia weight and maximum speed effectively, and also can achieve lower chip junction temperature in chip layout.
机译:多芯片模块(MCM)的出现意味着组件技术的发展在数量,速度和性能上都得到了极大的改善。研究MCM的热布局优化方法可以提高其可靠性,本文建立了结温与每个芯片坐标之间的数值关系模型。并使用ANSYS模拟和分析优化结果的温度曲线。本文比较了基于w的几种典型优化方案,提出了改进的粒子群算法。实验结果表明,改进的粒子群算法可以有效提高惯性权重和最大速度,并且可以降低芯片布局中的芯片结温。

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