11.4 A 512Gb 3b/cell 64-stacked WL 3D V-NAND flash memory

Chulbum Kim, Ji-Ho Cho, Woopyo Jeong, I. Park, Hyun-wook Park, Doo-Hyun Kim, D. Kang, Sunghoon Lee, Ji-Sang Lee, Wontae Kim, Jiyoon Park, Yang-Lo Ahn, Jiyoung Lee, Jonghoon Lee, Seungbum Kim, Hyun-Jun Yoon, Jaedoeg Yu, Nayoung Choi, Yelim Kwon, Nahyun Kim, Hwajun Jang, Jong-Yeol Park, Seunghwan Song, Yongha Park, Jinbae Bang, Sangki Hong, B. Jeong, Hyun-Jin Kim, Chunan Lee, Young-Sun Min, Inryul Lee, In-Mo Kim, Sung-Hoon Kim, Dongkyu Yoon, KiSeung Kim, Youngdon Choi, Moosung Kim, Hyunggon Kim, Pansuk Kwak, Jeong-Don Ihm, D. Byeon, Jin-Yub Lee, Ki-Tae Park, K. Kyung
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引用次数: 59

Abstract

The advent of emerging technologies such as cloud computing, big data, the internet of things and mobile computing is producing a tremendous amount of data. In the era of big data, storage devices with versatile characteristics are required for ultra-fast processing, higher capacity storage, lower cost, and lower power operation. SSDs employing 3D NAND are a promising to meet these requirements. Since the introduction of 3D NAND technology to marketplace in 2014 [1], the memory array size has nearly doubled every year [2,3]. To continue scaling 3D NAND array density, it is essential to scale down vertically to minimize total mold height. However, vertical scaling results in critical problems such as increasing WL capacitance and non-uniformity of stacked WLs due to variation in the channel hole diameter. To tackle these issues, this work proposes schemes for programming speed improvement and power reduction, and on-chip processing algorithms for error correction.
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11.4 512Gb 3b/cell 64堆叠WL 3D V-NAND闪存
云计算、大数据、物联网、移动计算等新兴技术不断涌现,产生了海量数据。在大数据时代,对具有多用途特性的存储设备提出了超快处理、高容量存储、低成本、低功耗的要求。采用3D NAND的固态硬盘有望满足这些要求。自2014年3D NAND技术推出以来[1],存储器阵列的尺寸几乎每年翻一番[2,3]。为了继续缩放3D NAND阵列密度,必须垂直缩放以最小化总模具高度。然而,由于通道孔径的变化,垂直缩放会导致WL电容的增加和堆叠WL的不均匀性等关键问题。为了解决这些问题,本工作提出了提高编程速度和降低功耗的方案,以及用于纠错的片上处理算法。
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