一种分配概率技术来推导数字标准单元的最坏情况时序模型

A. Fabbro, B. Franzini, L. Croce, C. Guardiani
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引用次数: 25

摘要

在现代VLSI结构化半定制集成电路设计流程中,确定标准单元库的精确最差情况定时性能的可能性非常重要。由于对性能的需求不断增加,而工艺技术的相应进步很难满足这种需求,因此盈利空间确实非常紧张。因此,为了开发制造过程的所有潜力,避免对实际电池性能过于悲观的估计是至关重要的。本文描述了一种利用给定概率值确定最坏情况点的技术。因此,可以为数字集成电路设计的最坏情况评估选择所需的置信水平,并具有良好的准确性。本文给出了分配概率技术(APT)的结果,并将其与标准方法在细胞和电路水平上得到的结果进行了比较,表明了新方法的巨大优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Assigned Probability Technique to Derive Realistic Worst-Case Timing Models of Digital Standard cells
The possibility of determining the accurate worstcase timing performance of a library of standard cells is of great importance in a modern VLSI structured semicustom IC design flow. The margin for profitability is indeed extremely tight because of the ever increasing performance demand which can hardly be satisfied by a corresponding progress of the process technology. It is therefore of utmost importance to avoid excessively pessimistic estimates of the actual cell performance in order to exploit all the potential of the fabrication process. In this paper it is described a technique that allows to determine the worst-case points with an assigned probability value. It is thus possible to select the desired level of confidence for the worst-case evaluation of digital IC designs with good accuracy. The results of the Assigned Probability Technique (APT) are presented and compared with those obtained by standard methods both at cell and at circuit level showing the considerable benefits of the new method.
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