Analysis of Semiconductor Process Variations by Means of Hierarchical Median Polish

Benjamin Willsch, J. Hauser, S. Dreiner, A. Goehlich, H. Kappert, H. Vogt
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引用次数: 3

Abstract

The understanding and controlling of semiconductor process variation is crucial to the performance, functionality and reliability of modern ICs. Due to the complex fabrication process involving hundreds of processing steps, the analysis of the sources of variability is a non-trivial task. In this paper, a novel, simple-to-implement procedure named Hierarchical Median Polish is proposed. The method is designed to decompose the spatial variation of device properties obtained from waferlevel measurements. The decomposition yields non-parametric estimates of the systematic and random variation components on different spatial scales such as wafer-, die- and intra-die level. The practicability of the approach is demonstrated by applying the procedure to wafer-level measurement data of 12100 poly resistors fabricated in a standard CMOS technology.
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用分层中值抛光方法分析半导体工艺变化
了解和控制半导体工艺变化对现代集成电路的性能、功能和可靠性至关重要。由于复杂的制造过程涉及数百个加工步骤,变异性来源的分析是一项不平凡的任务。本文提出了一种新颖的、易于实现的分层中值抛光方法。该方法旨在分解从晶圆级测量中获得的器件性能的空间变化。分解得到不同空间尺度(如晶圆、模具和模具内水平)的系统和随机变化分量的非参数估计。通过对采用标准CMOS技术制作的12100个多晶硅电阻器的片级测量数据的分析,证明了该方法的实用性。
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