带抖动的高速I/O链路眼图可达性验证的分区宏建模

Sai Manoj Pudukotai Dinakarrao, Hao Yu, Chenjie Gu, Cheng Zhuo
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引用次数: 0

摘要

本文利用分区对输入数据模式的不确定性(或抖动)进行建模,提出了一种基于可达性的验证方法来计算最坏情况眼图。提出的基于分区的可达性分析可以考虑高速I/O链路一次性仿真的空间和时间变化。此外,为了降低验证复杂度,还提出了非线性分区宏建模方法。实验表明,在指定的宏模型阶数下,与原始模型的蒙特卡罗模拟相比,分区宏模型在很小的误差范围内实现了高达450倍的加速,用于高速I/O链路验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A zonotoped macromodeling for reachability verification of eye-diagram in high-speed I/O links with jitter
With the use of zonotope to model uncertainty of input data pattern (or jitter), a reachability-based verification is developed in this paper to compute the worst-case eye-diagram. The proposed zonotope-based reachability analysis can consider both spatial and temporal variations in one-time simulation of high-speed I/O links. Moreover, nonlinear zonotoped macromodeling is developed to reduce the verification complexity. As shown by experiments, the zonotoped macromodel achieves up to 450× speedup compared to the Monte Carlo simulation of the original model within small error under specified macromodel order for highspeed I/O links verification.
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