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A Comprehensive Reliability Analysis Framework for NTC Caches: A System to Device Approach

机译:NTC缓存的全面可靠性分析框架:系统到设备方法

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Near threshold computing (NTC) has significant role in reducing the energy consumption of modern very large scale integrated circuits designs. However, NTC designs suffer from functional failures and performance loss. Understanding the characteristics of the functional failures and variability effects is of decisive importance in order to mitigate them, and get the utmost NTC benefits. This paper presents a comprehensive cross-layer reliability analysis framework to assess the effect of soft error, aging, and process variation in the operation of near threshold voltage caches. The objective is to quantify the reliability of different SRAM designs, evaluate voltage scaling potential of caches, and to find a reliability-performance optimal cache organization for an NTC microprocessor. In this paper, the soft error rate (SER) and static noise margin (SNM) of 6T and 8T SRAM cells and their dependencies on aging and process variation are investigated by considering device, circuit, and architecture level analysis. Their experimental results show that in NTC, process variation and aging-induced SNM degradation is 2.5x higher than in the super threshold domain while SER is 8x higher. At NTC, the use of 8T instead of 6T SRAM cells can reduce the system-level SNM and SER by 14% and 22%, respectively. Besides, we observe that we can find the right balance between performance and reliability by using an appropriate cache organization at NTC which is different from the super threshold.
机译:近阈值计算(NTC)在降低现代超大规模集成电路设计的能耗方面具有重要作用。但是,NTC设计会遭受功能故障和性能损失。为了减轻故障并获得最大的NTC收益,了解功能故障和可变性影响的特性具有决定性的重要性。本文提出了一个全面的跨层可靠性分析框架,以评估在接近阈值电压缓存的操作中软错误,老化和过程变化的影响。目的是量化不同SRAM设计的可靠性,评估高速缓存的电压缩放潜力,并为NTC微处理器找到可靠性能最佳的高速缓存组织。在本文中,通过考虑器件,电路和体系结构级别的分析,研究了6T和8T SRAM单元的软错误率(SER)和静态噪声容限(SNM)及其对老化和工艺变化的依赖性。他们的实验结果表明,在NTC中,过程变化和老化引起的SNM退化比超阈值域高2.5倍,而SER则高8倍。在NTC,使用8T而不是6T SRAM单元可以分别将系统级SNM和SER降低14%和22%。此外,我们观察到,通过在NTC处使用与超级阈值不同的适当缓存组织,可以在性能和可靠性之间找到合适的平衡。

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