A new framework for static timing analysis, incremental timing refinement, and timing simulation

Liang-Chi Chen, S. Gupta, M. Breuer
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引用次数: 16

Abstract

In this paper we present a framework that enables the computation of tight ranges of signal arrival, transition, and required times for rising and falling transitions at each circuit line, given an input sequence consisting of two partially specified vectors. At one extreme, when the vectors are completely unspecified, this framework becomes identical to static timing analysis (STA). At the other extreme, when the vectors are completely specified, this framework performs timing simulation (TS). Our key motivation for developing this framework was to reduce the amount of search required by a test generator that uses timing information. During test generation for a target fault, values are specified incrementally and this framework enables refinement of timing windows. We demonstrate that this approach significantly improves test generation efficiency. In this mode, the ATPG is said to be performing incremental timing refinement (ITR).
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一个用于静态时序分析、增量时序优化和时序仿真的新框架
在本文中,我们提出了一个框架,该框架能够计算信号到达的紧密范围,转换,以及每条线路上上升和下降转换所需的时间,给定由两个部分指定向量组成的输入序列。在一种极端情况下,当向量完全未指定时,该框架与静态时序分析(STA)相同。在另一个极端,当矢量完全指定时,该框架执行时序仿真(TS)。我们开发这个框架的主要动机是减少使用计时信息的测试生成器所需的搜索量。在目标故障的测试生成过程中,值是增量地指定的,并且该框架能够细化定时窗口。我们证明了这种方法显著提高了测试生成效率。在这种模式下,ATPG被称为执行增量定时优化(ITR)。
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