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Improving multilevel PCM reliability through age-aware reading and writing strategies

机译:通过年龄感知阅读和写作策略提高多级PCM可靠性

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Given its low power consumption and high density, Phase Change Memory (PCM) has been treated as a promising alternative to DRAM for main memory storage. Multilevel Cell (MLC) PCM outperforms regular single level cell (SLC) PCM with even higher information density, yet requires more accurate control for cell reading and writing. More crucially, the resistance of a MLC PCM cell may drift over time, thus introducing high error rate during cell reading if the quantization thresholds are constant. While previous work tries to adjust the quantization method when reading a cell, its accuracy is still limited due to the inter-cell variations in data age. In this paper, we propose various PCM writing and quantization strategies to improve MLC PCM reliability. Cell quantization accuracy is improved by taking into consideration not only the time information but also inter-cell age variations. Moreover, by making the write strategy be aware of time, the inter-level quantization margin can be guaranteed when the cells exhibit large age variations. This time-aware writing scheme is adaptively applied to maximize achievable benefits. The experimental results show that the proposed writing and reading approaches can effectively reduce the quantization error rate in MLC PCM by 95%.
机译:鉴于其低功耗和高密度,相变存储器(PCM)被视为主要内存存储的DRAM的有希望的替代方案。多级电池(MLC)PCM以较高的信息密度更高的常规单电池(SLC)PCM优于常规单电池(SLC)PCM,但需要更准确地控制细胞读写。更令人遗症的是,MLC PCM小区的电阻可以随时间漂移,从而在单元读数期间引入高差错率,如果量化阈值是恒定的。虽然以前的工作试图在读取单元时调整量化方法,但由于数据时代的小区间变化,其精度仍然有限​​。在本文中,我们提出了各种PCM写入和量化策略,以提高MLC PCM可靠性。通过不仅考虑时间信息而且还要考虑细胞间年龄变化,可以提高电池量化精度。此外,通过使写策略意识到时间,当细胞表现出大年龄变化时,可以保证级别的量化边缘。这种时刻感知的写作方案被自适应地应用于最大化可实现的益处。实验结果表明,所提出的书写和读取方法可以有效地降低MLC PCM中的量化误差率为95%。

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