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

Authors :
Dae-Woon Kang
Chunan Lee
Jin-Yub Lee
Hyung-Gon Kim
Kitae Park
HyunWook Park
Moosung Kim
Sangki Hong
Sung-Hoon Lee
Kye-Hyun Kyung
Jeong-Don Ihm
In-Mo Kim
Inryul Lee
Ji-Young Lee
Ji-Sang Lee
Hyun-Jun Yoon
Seung-Hwan Song
Dongkyu Yoon
Young-don Choi
Yelim Kwon
Yong-Ha Park
Sung-Hoon Kim
Ji-Ho Cho
Jaedoeg Yu
Park Jiyoon
Doohyun Kim
Nayoung Choi
Nahyun Kim
Chulbum Kim
Pansuk Kwak
Hyun-Jin Kim
Jong-Hoon Lee
Woopyo Jeong
Hwajun Jang
Jonghoon Park
Byung-Hoon Jeong
Won-Tae Kim
Young-Sun Min
Yang-Lo Ahn
Ki-Sung Kim
Seung-Bum Kim
Dae-Seok Byeon
Jinbae Bang
Park Il-Han
Source :
ISSCC
Publication Year :
2017
Publisher :
IEEE, 2017.

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.

Details

Database :
OpenAIRE
Journal :
2017 IEEE International Solid-State Circuits Conference (ISSCC)
Accession number :
edsair.doi...........ac49556ab37502a79cde6f21a7ad3f60
Full Text :
https://doi.org/10.1109/isscc.2017.7870331