并发故障统计与设计误差仿真

B. Grayson, S. Shaikh, S. Szygenda
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引用次数: 2

摘要

这里介绍的关于故障和设计错误模拟过程的基本数据以前没有报道过。实验是在c-sim上进行的,c-sim是德克萨斯大学奥斯汀分校开发的门级并发模拟器。考虑了三种类型的统计:基于事件的统计、门评估统计和内存需求。这些统计数据对于设计验证研究人员和工程师来说很重要,原因有很多。例如,它们帮助模拟器开发人员调整或优化他们的并发模拟器。它们还满足了对设计误差仿真实验数据日益增长的需求。最重要的是,这些统计数据为硬件加速器设计人员评估和比较各种设计选项提供了指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Statistics on concurrent fault and design error simulation
Basic data of the nature presented here on fault and design error simulation processes have not been previously reported. Experiments are performed on c-sim, a gate level concurrent simulator developed at the University of Texas at Austin. Three types of statistics are considered: event based statistics, gate evaluation statistics and memory requirements. These statistics are important for design verification researchers and engineers for numerous reasons. For example, they help simulator developers tune up or optimize their concurrent simulators. They also fulfill the increasing need for experimental data concerning design error simulation. Most importantly, these statistics provide guidance to hardware accelerator designers in evaluating and comparing various design options.
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