用分辨法分析假噪声

A. Glebov, S. Gavrilov, D. Blaauw, V. Zolotov, R. Panda, C. Oh
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引用次数: 16

摘要

高性能数字电路由于交叉耦合注入噪声而面临着日益严重的噪声问题。传统上,噪声分析工具使用保守的假设,即网络的所有邻居可以同时切换,从而在网络上产生最坏的噪声。然而,由于电路中的逻辑相关性,这种最坏情况下的噪声可能无法实现,从而导致所谓的假噪声故障。由于这个问题通常被证明是np困难的,所以这个问题的精确解是不可能的。因此,本文提出了一种新的基于分辨方法的启发式算法来消除假噪声故障。结果表明,多变量逻辑关系可以直接从晶体管级描述中计算出来。基于这些生成的逻辑关系,构造了信号网及其相邻网络的特征ROBDD。然后使用该ROBDD来确定导致网络上最大可实现噪声的相邻网络集。该方法在工业电路上得到了实现和测试。结果表明,该方法能够有效地消除假噪声故障。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
False-noise analysis using resolution method
High-performance digital circuits are facing increasingly severe noise problems due to cross-coupled noise injection. Traditionally, noise analysis tools use the conservative assumption that all neighbors of a net can switch simultaneously, thereby producing the worst-case noise on a net. However, due to the logic correlations in the circuit, this worst-case noise may not be realizable, resulting in a so-called false noise failure. Since the problem has been shown to be NP-hard in general, exact solutions to this problem are not possible. In this paper, we therefore propose a new heuristic to eliminate false noise failures based on the resolution method. It is shown that multi-variable logic relations can be computed directly from a transistor level description. Based on these generated logic relations, a characteristic ROBDD for a signal net and its neighboring nets is constructed. This ROBDD is then used to determine the set of neighboring nets that result in the maximum realizable noise on the net. The proposed approach was implemented and tested on industrial circuits. The results demonstrate the effectiveness of the approach to eliminate false noise failures.
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