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A multi-scale random-walk thermal-analysis methodology for complex IC-interconnect systems

机译:复杂IC互连系统的多尺度随机游走热分析方法

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We have developed and demonstrated a 3D multi-scale thermal-analysis methodology for multiple and stacked-chip configurations. This approach employs a global-local problem-domain discretization in conjunction with the floating RW (random walk) method. Emphasis has been placed on capturing complex thermal effects due to interconnect layers. We have analyzed a hypothetical stacked-chip geometry derived from a Stanford interconnect test chip. 2D gdsII layout data was automatically processed and converted into a 3D problem domain. On a 400 MHz Apple PowerBook G3/sup TM/, execution time was about three minutes per temperature data point. Temperature at each evaluated point was computed with 1000 RWs, yielding a 1-/spl sigma/ statistical error of about 5%. Based on heuristic formulas that we have deduced, a local window of /spl plusmn/20 /spl mu/m relative to the RW start point achieved a reasonable global-local discretization error.
机译:我们已经开发并演示了针对多种芯片和堆叠芯片配置的3D多尺度热分析方法。此方法结合浮动RW(随机游走)方法采用全局局部问题域离散化。重点放在捕获由于互连层引起的复杂热效应。我们已经分析了从斯坦福互连测试芯片得出的假设堆叠芯片的几何形状。 2D gdsII布局数据被自动处理并转换为3D问题域。在400 MHz的Apple PowerBook G3 / sup TM /上,每个温度数据点的执行时间约为3分钟。每个评估点的温度以1000 RWs计算,得出1- / spl sigma /统计误差约为5%。根据我们推导的启发式公式,相对于RW起点的/ spl plusmn / 20 / spl mu / m的局部窗口实现了合理的全局局部离散化误差。

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