VLSI电路的统计性能仿真方法

M. Orshansky, James C. Chen, C. Hu
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引用次数: 12

摘要

提出了一种用于超大规模集成电路的统计性能仿真方法。传统的最坏角点分析方法精度较低,而蒙特卡罗仿真由于其复杂性而无法应用于VLSI电路。SPS方法是准确的,因为没有关于设备参数变化的统计信息丢失。它通过分析较小的电路块并生成整个电路的性能分布来实现效率。电路评估在任何指定的性能水平是可能的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A statistical performance simulation methodology for VLSI circuits
A statistical performance simulation (SPS) methodology for VLSI circuits is presented. Traditional methods of worst-case corner analysis lack accuracy and Monte-Carlo simulations cannot be applied to VLSI circuits because of their complexity. SPS methodology is accurate because no statistical information about the device parameter variation is lost. It achieves efficiency by analyzing the smaller circuit blocks and generating the performance distribution for the entire circuit. Circuit evaluation at any specified performance level is possible.
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