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首页> 外文期刊>IEEE Journal of Solid-State Circuits >Yield optimization in large RAM's with hierarchical redundancy
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Yield optimization in large RAM's with hierarchical redundancy

机译:具有分层冗余的大型RAM的产量优化

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摘要

The authors present and analyze large RAM architectures with hierarchical redundancy and determine the optimal redundancy organization for yield enhancement. A two-level redundancy scheme is used for defect tolerance, and the defect distribution is modeled using the compounded Poisson model. The tree random access memory (TRAM), which has been proposed as a design methodology for future multimegabit memories (N. Jarwala et al., 1988) is considered as an example for modeling and optimization. The results show that the two-level hierarchical redundancy approach, with spare bit and word lines within memory quadrants, and additional spare modules for global sparing, along with redundant interconnections can efficiently provide defect tolerance and viable yields for future generations of high-density dynamic random access memories.
机译:作者介绍并分析具有分层冗余的大型RAM体系结构,并确定用于提高产量的最佳冗余组织。两级冗余方案用于容错,并且使用复合泊松模型对缺陷分布进行建模。树型随机存取存储器(TRAM)已被提出作为未来多兆位存储器的一种设计方法(N. Jarwala等,1988),被认为是建模和优化的一个例子。结果表明,两级分层冗余方法,在存储器象限内具有备用位和字线,以及用于全局备用的附加备用模块,以及冗余互连,可以为下一代高密度动态存储器有效地提供缺陷容忍度和可行的良率。随机存取存储器。

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