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45nm Transistor Variability Study for Memory Characterization

机译:用于存储器表征的45nm晶体管可变性研究

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We have previously analyzed spatial process variation using 45nm ring oscillator arrays. Our hierarchical variability model had proven to be very useful in revealing interesting systematic patterns, and in separating them from native random variability. To further understand the underlying mechanism of the process variation, we continue to work on the analysis and modeling of spatial variation of transistors made on the same 45nm technology test chips. A novel statistical compact device modeling procedure is used to extract the systematic and random variation of device parameters across wafer and within die. Statistical SPICE simulation is then performed based on the extracted variation model of device parameters. The results compare well with actual ring oscillator and SRAM measurements, in that the characteristic systematic, spatial and random patterns have been captured for circuit-level simulation.
机译:我们之前已经使用45nm环形振荡器阵列分析了空间过程变化。我们的分层可变性模型已被证明在揭示有趣的系统模式以及将其与本地随机可变性分离方面非常有用。为了进一步了解工艺变化的潜在机理,我们继续致力于对在同一45nm技术测试芯片上制造的晶体管的空间变化进行分析和建模。一种新颖的统计紧凑型器件建模程序可用于提取整个晶圆和芯片内的器件参数的系统性和随机性变化。然后基于提取的设备参数变化模型执行统计SPICE仿真。结果已与实际的环形振荡器和SRAM测量结果很好地比较,因为已捕获了特征性的系统,空间和随机模式用于电路级仿真。

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