Evidence map›Paper›PMID 39770200›Full record

ArticleMicromachines2024

Balancing Page Endurance Variation Between Layers to Extend 3D NAND Flash Memory Lifetime.

Jialin Wang, Yi Fan, Yajuan Du, Siyi Huang, Yu Wan

Abstract read
In one paragraph

Article in Micromachines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jialin WangCollege of Electrical Engineering, Naval University of Engineering, Wuhan 430033, China.
Yi FanSchool of Computer and Artificial Intelligence, Wuhan University of Technology, Wuhan 430070, China.
Yajuan DuSchool of Computer and Artificial Intelligence, Wuhan University of Technology, Wuhan 430070, China.
Siyi HuangSchool of Computer and Artificial Intelligence, Wuhan University of Technology, Wuhan 430070, China.
Yu WanSchool of Computer and Artificial Intelligence, Wuhan University of Technology, Wuhan 430070, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With vertical stacking, 3D NAND's flash memory can achieve continuous capacity growth. However, the endurance variation between the stacked layers becomes more and more significant due to process variation, which will lead to the underutilization of many pages and seriously affect the lifetime of 3D NAND's flash memory. We investigated the endurance variation characteristics between layers and divided the stacked layers into the top, middle, and bottom layers according to the endurance characteristics. We found that the endurance of the bottom layer pages is much weaker than that of the other two layers, which is the primary factor that affects the lifetime of 3D NAND's flash memory. In response to this endurance variation feature, we proposed a new layer-aware write strategy, called LA-Write. First of all, the write-skip unit in LA-Write will reduce the wear pressure of the pages through write-skip operations. Secondly, LA-Write maintains a layer-aware table, which stores the probability of pages in different layers performing the write-skip operation. Setting the probability of the bottom pages to the highest value will result in more write-skip operations on the bottom layers, mitigating endurance variations between layers. We carried out our experiments of LA-Write on DiskSim, a popular SSD simulator. Compared to existing schemes, experimental results show that LA-Write can greatly increase SSD's lifetime.

Indexed as

3D NAND’s flash memorybit error ratelayer endurance variationSSD lifetime

Identifiers

PMID39770200
PMCPMC11677435

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.