基于静态噪声裕度的6T SRAM产率建模,利用恢复技术改善面积和最小工作电压

Nidhi Batra, Pawan Sehgal, S. Kaushik, M. Hashmi, Sudesh Bhalla, Anuj Grover
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引用次数: 3

摘要

在先进的技术节点上,工艺变化会降低SRAM的性能并严重影响良率。有必要建立产量估计模型来优化sram,并有效地权衡面积、性能和鲁棒性。我们提出的模型除了能够估算产量外,还能够评估降低最低工作电压(VDDMIN)。本文采用实验设计(DOE)方法对SNM限制SRAM产率进行了定量分析。提出的基于良率的设计框架还可以利用纠错码(ECC)和冗余等恢复技术,量化良率、面积和VDDmin的改进。我们还提出了一个案例研究,权衡了ECC恢复预算,VDDmin和面积增益。我们显示,在恒定产量水平下,使用50%的ECC恢复预算,面积提高了25%,VDDmin降低了300mV。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Static noise margin based yield modelling of 6T SRAM for area and minimum operating voltage improvement using recovery techniques
In advanced technology nodes, the process variations deteriorate SRAM performance and greatly affect yield. It is necessary to formulate yield estimation models to optimize SRAMs and effectively trade-off area, performance and robustness. We propose models that in addition to enabling yield estimates also enable evaluation of lowering minimum operational voltage (VDDMIN). We present a quantitative analysis for SNM limited SRAM yield using Design of Experiments (DOE) method. The proposed framework for yield based design can also utilize recovery techniques like Error Correcting Codes (ECC) and redundancy and quantifies yield, area, and VDDmin improvements. We also present a case study that trades-off ECC recovery budget, VDDmin and area gain. We show 25% improvement in area and VDDmin lowering by 300mV at constant yield levels by using 50% of ECC recovery budget.
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