电子学报
電子學報
전자학보
ACTA ELECTRONICA SINICA
2009年
11期
2520-2524
,共5页
梁颖%黄春跃%阎德劲%李天明
樑穎%黃春躍%閻德勁%李天明
량영%황춘약%염덕경%리천명
叠层三维多芯片组件%遗传算法%热布局优化%热叠加模型%有限元分析
疊層三維多芯片組件%遺傳算法%熱佈跼優化%熱疊加模型%有限元分析
첩층삼유다심편조건%유전산법%열포국우화%열첩가모형%유한원분석
stacked 3D-MCM%genetic algorithms%thermal placement optimization%thermal superposition model%finite element analysis
叠层三维多芯片组件(3D Multi-Chip Module,MCM)芯片的位置布局直接影响其内部温度场分布,进而影响其可靠性.本文研究了叠层3D-MCM内芯片热布局优化问题,目标是降低芯片最高温度、平均芯片温度场.基于热叠加模型并结合热传导公式,选取芯片的温度作为评价指标,确定出用于3D-MCM热布局优化的适应度函数,采用遗传算法对芯片热布局进行优化,得出了最优芯片热布局方案,总结出了可用于指导叠层3D-MCM芯片热布局设计的热布局规则;采用有限元仿真方法,对所得的热布局优化结果进行验证,结果表明热布局优化结果与仿真实验结果一致,本文所提出的基于热叠加模型的MCM热布局优化算法可实现叠层3D-MCM芯片的热布局优化.
疊層三維多芯片組件(3D Multi-Chip Module,MCM)芯片的位置佈跼直接影響其內部溫度場分佈,進而影響其可靠性.本文研究瞭疊層3D-MCM內芯片熱佈跼優化問題,目標是降低芯片最高溫度、平均芯片溫度場.基于熱疊加模型併結閤熱傳導公式,選取芯片的溫度作為評價指標,確定齣用于3D-MCM熱佈跼優化的適應度函數,採用遺傳算法對芯片熱佈跼進行優化,得齣瞭最優芯片熱佈跼方案,總結齣瞭可用于指導疊層3D-MCM芯片熱佈跼設計的熱佈跼規則;採用有限元倣真方法,對所得的熱佈跼優化結果進行驗證,結果錶明熱佈跼優化結果與倣真實驗結果一緻,本文所提齣的基于熱疊加模型的MCM熱佈跼優化算法可實現疊層3D-MCM芯片的熱佈跼優化.
첩층삼유다심편조건(3D Multi-Chip Module,MCM)심편적위치포국직접영향기내부온도장분포,진이영향기가고성.본문연구료첩층3D-MCM내심편열포국우화문제,목표시강저심편최고온도、평균심편온도장.기우열첩가모형병결합열전도공식,선취심편적온도작위평개지표,학정출용우3D-MCM열포국우화적괄응도함수,채용유전산법대심편열포국진행우화,득출료최우심편열포국방안,총결출료가용우지도첩층3D-MCM심편열포국설계적열포국규칙;채용유한원방진방법,대소득적열포국우화결과진행험증,결과표명열포국우화결과여방진실험결과일치,본문소제출적기우열첩가모형적MCM열포국우화산법가실현첩층3D-MCM심편적열포국우화.
In the thermal design of stacked three-dimensional multi-chip module (3D-MCM), the placement of multiple chips on 3D-MCM substrate has a significant effect on temperature field in the 3D-MCM, thus influences the reliability of the 3D-MCM.The thermal placement optimization of chips in stacked 3D-MCM was studied in this papa-, the goal of this work is to decrease temperature and achieve uniform thermal field distribution within stacked 3D-MCM. The average temperature of chips in stacked 3D-MCM was chosen as the evaluation target based on thermal superposition model and equation of heat conduction, and the fitness function for thermal placement optimization was determined. Based on genetic algorithms,chips placement optimization algorithm of thermal model was proposed and the optimization chips placement of stacked 3D-MCM was achieved by corresponding optimization program. Based on this work, the chips placement rules which can be used for directing thermal design of stacked 3D-MCM were summarized. To demonstrate the effectiveness of the obtained optimization chips placement, by using ANS YS, finite element analysis (FEA) was carried out to assess the thermal field distribution of the optimization chips placement in stacked 3D-MCM, the result shows that the thermal field distributions of the optimization chips placement are in good accord with the FEA results. It turns out that the chip placement optimization approach proposed in this work can be effective and robust in providing thermal optimal design of chip placement in stacked 3D-MCM.