ReveNAND: A Fast-Drift-Aware Resilient 3D NAND Flash Design

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The paradigm shift from planar (two dimensional (2D)) to vertical (three-dimensional (3D)) models has placed the NAND flash technology on the verge of a design evolution that can handle the demands of next-generation storage applications. However, it also introduces challenges that may obstruct the realization of such 3D NAND flash. Specifically, we observed that the fast threshold drift (fast-drift) in a charge-trap flash-based 3D NAND cell can make it lose a critical fraction of the stored charge relatively soon after programming and generate errors. In this work, we first present an elastic read reference (V-Ref) scheme (ERR) for reducing such errors in ReveNAND our fast-drift aware 3D NAND design. To address the inherent limitation of the adaptive V-R(ef), we introduce a new intra-block page organization (hitch-hike) that can enable stronger error correction for the error-prone pages. In addition, we propose a novel reinforcement-learning-based smart data refill scheme (iRefill) to counter the impact of fast-drift with minimum performance and hardware overhead. Finally, we present the first analytic model to characterize fast-drift and evaluate its system-level impact. Our results show that, compared to conventional 3D NAND design, our ReveNAND can reduce fast-drift errors by 87%, on average, and can lower the ECC latency and energy overheads by 13x and 10x, respectively.
Publisher
ASSOC COMPUTING MACHINERY
Issue Date
2018-06
Language
English
Article Type
Article
Citation

ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION, v.15, no.2

ISSN
1544-3566
DOI
10.1145/3184744
URI
http://hdl.handle.net/10203/262632
Appears in Collection
EE-Journal Papers(저널논문)
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