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Runtime-Constrained Yield Model in Nanocrossbar Systems

机译:纳米交叉系统中的运行时约束产量模型

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Nanoelectronic systems are inherently unreliable, and defect-tolerant logic mapping emerges as a new basic process in manufacturing nanocrossbar-based architectures. Such a mapping phase makes it possible to build functional systems despite the massive prevalence of defects. However, one of the significant change introduced is that yield becomes directly depends on the result of the complex mapping process, and can no longer be estimated simply by defect rate. In this paper, we show that the concept of yield in traditional systems becomes an absolute extreme for nanocrossbar-based systems, and it fails to be of practical value. In fact, yield and mapping runtime cannot be considered separately for nanocrossbar systems, since the true success rate of implementing a logic function on a crossbar is ultimately decided by the mapping process. We propose a new logic-mapping aware yield model, namely runtime-constrained (RTC) yield, which takes into consideration the complexity of mapping process. We show how RTC yield can be modeled mathematically, and how it is capable of capturing the true success rate and the cost of manufacturing nanocrossbar-based systems.
机译:纳米电子系统本质上是不可靠的,并且容错逻辑映射作为制造基于Nanocrossbar的体系结构中的新基本过程而出现。尽管存在大量缺陷,但这种映射阶段仍可以构建功能系统。但是,引入的重大变化之一是,成品率直接取决于复杂映射过程的结果,并且不再可以仅通过缺陷率来估计。在本文中,我们证明了传统系统中的收益率概念对于基于纳米交叉开关的系统而言绝对是极端的,并且没有实用价值。实际上,对于纳米交叉开关系统,不能单独考虑良率和映射运行时间,因为在交叉开关上实现逻辑功能的真正成功率最终取决于映射过程。我们提出了一种新的逻辑映射感知良率模型,即运行时受限(RTC)良率,该模型考虑了映射过程的复杂性。我们展示了如何对RTC收益进行数学建模,以及如何能够捕获真正的成功率和制造基于Nanocrossbar的系统的成本。

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