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Latency optimized clustered error mitigation for multi-level flash memory using product code

机译:使用产品代码的多级闪存的优化群集错误缓解

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Soft errors due to radiation-induced multi-bit upsets (MBUs) are very prominent in the present flash memories built with ultra large scale VLSI technology. Use of multi-level cells in flash memories increase the chance of adjacent MBUs or clustered error. Single bit error detection and correction (EDAC) codes are not enough to mitigate the effect of clustered error due to their small error correction capability. On the other hand, commonly used multi-bit EDAC codes have large overhead, complex decoding circuitry, high error correction latency and are unable to correct large number adjacent erroneous bits. In this paper, we have proposed a product code coined as linear shortened block code based product code (LSBCPC) for mitigation of clustered error in the flash memory devices. LSBCPC utilizes latency optimized scalable shortened block code as the component code and can correct higher number of adjacent erroneous bits in memory devices compared to the other state of the art solutions. The proposed LSBCPC promises better error correction coverage with 28%, 14%, and 13% reduction in terms of redundant bits, 13%, 11%, and 10% reduction in terms of area and 24%, 26%,and 22% reduction in terms of latency in 16 x 16, 32 x 32 and 64 x 64 memory devices respectively compared to the highly cited research work. The performance of the proposed method is validated in terms of redundant bits, error correction coverage, mean error to failure, area consumption, power utilization and decoding latency.
机译:由于辐射诱导的多位UPSET(MBUS)引起的软误差在用超大规模VLSI技术建造的本闪存中非常突出。在闪存中使用多级单元格增加了相邻MBU或群集错误的可能性。单位错误检测和校正(EDAC)代码不足以减轻由于它们的误差校正能力小而导致的集群错误的效果。另一方面,常用的多位EDAC代码具有大的开销,复杂的解码电路,高纠错等待时间,并且无法校正大数字相邻的错误位。在本文中,我们提出了一种作为基于线性缩短的基于块代码的产品代码(LSBCPC)的产品代码,用于减轻闪存设备中的聚类误差。 LSBCPC利用延迟优化可伸缩的缩短块代码作为组件代码,并且与最新状态相比,可以更正存储器设备中的更高数量的相邻错误位。拟议的LSBCPC在冗余比特方面具有28%,14%和13%的更好的纠错覆盖率,13%,11%和10%的区域,减少24%,26%和22%在16 x 16,32 x 32和64 x 64的延迟方面,分别与高度引用的研究工作相比。在冗余比特,纠错覆盖率,故障,面积消耗,电力利用率和解码延迟的方面,验证了所提出的方法的性能。

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