Improving 3D NAND Flash Memory Lifetime by Tolerating Early Retention Loss and Process Variation

Author:

Luo Yixin1,Ghose Saugata1,Cai Yu2,Haratsch Erich F.3,Mutlu Onur4

Affiliation:

1. Carnegie Mellon University, Pittsburgh, PA, USA

2. Carnegie Mellon University, NA, PA, USA

3. Seagate Technology, Seagate, CA, USA

4. ETH Zürich & Carnegie Mellon University, Zurich, Switzerland

Abstract

Compared to planar (i.e., two-dimensional) NAND flash memory, 3D NAND flash memory uses a new flash cell design, and vertically stacks dozens of silicon layers in a single chip. This allows 3D NAND flash memory to increase storage density using a much less aggressive manufacturing process technology than planar NAND flash memory. The circuit-level and structural changes in 3D NAND flash memory significantly alter how different error sources affect the reliability of the memory. In this paper, through experimental characterization of real, state-of-the-art 3D NAND flash memory chips, we find that 3D NAND flash memory exhibits three new error sources that were not previously observed in planar NAND flash memory: (1) layer-to-layer process variation, a new phenomenon specific to the 3D nature of the device, where the average error rate of each 3D-stacked layer in a chip is significantly different; (2) early retention loss, a new phenomenon where the number of errors due to charge leakage increases quickly within several hours after programming; and (3) retention interference, a new phenomenon where the rate at which charge leaks from a flash cell is dependent on the data value stored in the neighboring cell. Based on our experimental results, we develop new analytical models of layer-to-layer process variation and retention loss in 3D NAND flash memory. Motivated by our new findings and models, we develop four new techniques to mitigate process variation and early retention loss in 3D NAND flash memory. Our first technique, Layer Variation Aware Reading (LaVAR), reduces the effect of layer-to-layer process variation by fine-tuning the read reference voltage separately for each layer. Our second technique, Layer-Interleaved Redundant Array of Independent Disks (LI-RAID), uses information about layer-to-layer process variation to intelligently group pages under the RAID error recovery technique in a manner that reduces the likelihood that the recovery of a group fails significantly earlier than the recovery of other groups. Our third technique, Retention Model Aware Reading (ReMAR), reduces retention errors in 3D NAND flash memory by tracking the retention time of the data using our new retention model and adapting the read reference voltage to data age. Our fourth technique, Retention Interference Aware Neighbor-Cell Assisted Correction (ReNAC), adapts the read reference voltage to the amount of retention interference a page has experienced, in order to re-read the data after a read operation fails. These four techniques are complementary, and can be combined together to significantly improve flash memory reliability. Compared to a state-of-the-art baseline, our techniques, when combined, improve flash memory lifetime by 1.85×. Alternatively, if a NAND flash vendor wants to keep the lifetime of the 3D NAND flash memory device constant, our techniques reduce the storage overhead required to hold error correction information by 78.9%.

Funder

Seagate Technology

Huawei Technologies

Samsung

Intel Corporation

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Safety, Risk, Reliability and Quality,Computer Science (miscellaneous)

Reference98 articles.

1. AnandTech "Western Digital Announce BiCS4 3D NAND: 96 Layers TLC & QLC Up to 1 Tb per Chip " https: //www.anandtech.com/show/11585/western-digital-announce-bics4--96-layer-nand 2017. AnandTech "Western Digital Announce BiCS4 3D NAND: 96 Layers TLC & QLC Up to 1 Tb per Chip " https: //www.anandtech.com/show/11585/western-digital-announce-bics4--96-layer-nand 2017.

2. Differential RAID

3. Y. Cai S. Ghose Y. Luo K. Mai O. Mutlu and E. F. Haratsch "Vulnerabilities in MLC NAND Flash Memory Programming: Experimental Analysis Exploits and Mitigation Techniques " in HPCA 2017. Y. Cai S. Ghose Y. Luo K. Mai O. Mutlu and E. F. Haratsch "Vulnerabilities in MLC NAND Flash Memory Programming: Experimental Analysis Exploits and Mitigation Techniques " in HPCA 2017.

4. Read Disturb Errors in MLC NAND Flash Memory: Characterization, Mitigation, and Recovery

Cited by 28 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Characterizing and Optimizing LDPC Performance on 3D NAND Flash Memories;ACM Transactions on Architecture and Code Optimization;2024-09-14

2. MegIS: High-Performance, Energy-Efficient, and Low-Cost Metagenomic Analysis with In-Storage Processing;2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA);2024-06-29

3. Modeling Retention Errors of 3D NAND Flash for Optimizing Data Placement;ACM Transactions on Design Automation of Electronic Systems;2024-06-21

4. Random Flip Bit Aware Reading for Improving High-Density 3-D NAND Flash Performance;IEEE Transactions on Circuits and Systems I: Regular Papers;2024-05

5. Achieving Near-Zero Read Retry for 3D NAND Flash Memory;Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2;2024-04-27

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3