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Statistical characterization and modeling of random telegraph noise effects in 65nm SRAMs cells

机译:65nm SRAMS细胞中随机电报噪声效应的统计表征和建模

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Random Telegraph Noise (RTN) effects are investigated in 65nm SRAM cells by using a new characterization method that provides a significant measurement time reduction. The variability induced in commercial SRAM cells is derived by applying statistical and physics based Montecarlo modeling to the experimental data. Results show that RTN can have a significant impact on the memory write operations and should therefore be taken into account during the memory design phase.
机译:通过使用新的表征方法在65nm SRAM细胞中研究随机电报噪声(RTN)效应,该方法提供了显着的测量时间减少。通过将基于统计和物理学的Montecarlo建模应用于实验数据,得到商业SRAM细胞中诱导的变异性。结果表明RTN对存储器写入操作产生重大影响,因此在存储器设计阶段应该考虑到。

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