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Rare-Failure Oriented STT-MRAM Technology Optimization

机译:面向稀有故障的STT-MRAM技术优化

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A rare-failure oriented optimization methodology for state-of-the-art STT-MRAM technology has been proposed. Physics-based device models and novel rare event sampling algorithms are used for massively parallel Monte Carlo simulations to identify the critical process variability sources and to evaluate the Write Error Rate (WER) at the resolution of 1E-9. New rare-failure figure-of-merits (FoMs) and design guidelines are suggested for optimizing the operation conditions of STT-MRAMs so that the energy-delay product can be minimized at satisfactory WER level.
机译:已经提出了针对最新的STT-MRAM技术的面向稀有故障的优化方法。基于物理的设备模型和新颖的稀有事件采样算法用于大规模并行蒙特卡洛模拟,以识别关键的过程可变性源并评估分辨率为1E-9的写错误率(WER)。为了优化STT-MRAM的操作条件,建议使用新的罕见故障量度(FoM)和设计指南,以便在令人满意的WER水平下将能量延迟积减到最小。

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