An Efficient Optimization Based Method to Evaluate the DRV of SRAM Cells
An Efficient Optimization Based Method to Evaluate the DRV of SRAM Cells
复制标题
一种基于优化的有效评估 SRAM 单元 DRV 的方法
DOI：
10.1109/tcsi.2012.2226504
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发表时间：
2013-01
影响因子：
5.1
通讯作者：
Zeng, Xuan（曾璇）
中科院分区：
文献类型：
--
作者：
Huang, Guanming;Qian, Liuxi;Saibua, Siwat;Zhou, Dian（周电）;Zeng, Xuan（曾璇）
为了减少大量的泄漏电流，SRAM单元的电源电压被降低到其下限，这被称为数据保持电压(DRV)。虽然功耗大大降低，但由于工艺或器件参数的不可预测变化，这种小型化趋势影响了SRAM单元的稳定性。在这项工作中，我们提出了一种新的方法来评估存在变化的SRAM单元的DRV。DRV问题首先被描述为一个时域最差性能界问题。为了准确、高效地评估DRV，利用实际电路仿真器，研究和开发了一种多起点优化策略。该方法的一个特点是可以在不影响任何过程/模型精度的情况下有效地评估DRV。实验结果表明，在本文的DRV评估环境下，该方法比重要性抽样(IS)和蒙特卡罗(MC)方法分别获得了3个和5-7个数量级的加速比。该方法可作为任何特定工艺或内部电路仿真器的有效DRV评估工具。在这项工作中，还给出并分析了在不同变化源影响下，130~45 nm技术节点的DRV。
To reduce the substantial leakage current, the supply voltage of SRAM cells has being scaled down towards its lower limit, which is called the data Retention Voltage (DRV). Although the power consumption is largely reduced, this down-scaling trend, however, impacts the stability of the SRAM cell due to the unpredictable process or device parameter variations. In this work, we propose a novel method to evaluate the DRV of SRAM cells at the presence of variations. The DRV issue is first formulated as a time domain worst performance bound problem. To accurately and efficiently evaluate the DRV, a multi-start point (MSP) optimization strategy is then studied and developed with the use of practical circuit simulator. One feature of the proposed method is that it can efficiently evaluate the DRV without suffering from any process/model accuracy. Experiment results show that it achieves a speedup of 3 and 5-7 order over the Importance Sampling (IS) and Monte Carlo (MC) method respectively under the context of the DRV evaluation in this paper. The proposed method can serve as an efficient DRV evaluation tool on any specific technology process or in-house circuit simulator. In this work, the DRVs at the technology node from 130 nm to 45 nm under the influence of different variation sources are also presented and analyzed.
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DOI：
10.1145/1837274.1837372
发表时间：
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期刊：
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影响因子：
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DOI：
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期刊：
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发表时间：
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期刊：
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DOI：
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发表时间：
2010-11
期刊：
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DOI：
10.1109/tcad.2009.2013996
发表时间：
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影响因子：
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