用于任意 SRAM 单元结构稳定性分析的黑盒方法

M. Wieckowski, D. Sylvester, D. Blaauw, V. Chandra, Sachin Idgunji, C. Pietrzyk, R. Aitken
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引用次数: 26

摘要

使用蝶形曲线进行静态噪声裕度分析在 SRAM 单元结构的选型和优化中一直发挥着主导作用。随着变异性的增加和电源电压的降低,人们越来越关注用于鉴定动态稳健性的新方法。在这项工作中,介绍了一种基于矢量场分析的技术,用于快速提取任意 SRAM 拓扑的静态和动态稳定性特征。研究表明,传统的 6T 单元蝶形曲线模拟实际上是所提方法的一个特例。所提出的技术不仅能进行标准 SNM "最小平方 "测量,还能跟踪状态空间分离矩阵,这是量化动态稳定性的关键操作。通过重要度采样确定,结合使用分离矩阵跟踪和蝶式 SNM 测量的电池特性分析与电池故障率的相关性明显高于单独使用 SNM 测量。经证明,所介绍的技术比蛮力瞬态方法快数千倍,并可通过广泛使用的标准设计工具来实现。
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A black box method for stability analysis of arbitrary SRAM cell structures
Static noise margin analysis using butterfly curves has traditionally played a leading role in the sizing and optimization of SRAM cell structures. Heightened variability and reduced supply voltages have resulted in increased attention being paid to new methods for characterizing dynamic robustness. In this work, a technique based on vector field analysis is presented for quickly extracting both static and dynamic stability characteristics of arbitrary SRAM topologies. It is shown that the traditional butterfly curve simulation for 6T cells is actually a special case of the proposed method. The proposed technique not only allows for standard SNM “smallest-square” measurements, but also enables tracing of the state-space separatrix, an operation critical for quantifying dynamic stability. It is established via importance sampling that cell characterization using a combination of both separatrix tracing and butterfly SNM measurements is significantly more correlated to cell failure rates then using SNM measurements alone. The presented technique is demonstrated to be thousands of times faster than the brute force transient approach and can be implemented with widely available, standard design tools.
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