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Xiangfeng Lu

dblp:241/0858 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 2 · 1 since 2021Software engineering, systems software and programming languages · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Storage systems · 91% Performance modeling and evaluation · 9%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Storage systems › flash and SSD › flash memory › NAND flash
3D NAND flash
0.612022
Characterization Summary of Performance, Reliability, and Threshold Voltage Distribution of 3D Charge-Trap NAND Flash Memory · ACM Trans. Storage 2022
Storage systems
flash and SSD
0.612022
Characterization Summary of Performance, Reliability, and Threshold Voltage Distribution of 3D Charge-Trap NAND Flash Memory · ACM Trans. Storage 2022
Storage systems › flash and SSD › flash memory
threshold voltage distribution
0.612022
Characterization Summary of Performance, Reliability, and Threshold Voltage Distribution of 3D Charge-Trap NAND Flash Memory · ACM Trans. Storage 2022
Performance modeling and evaluation
workload characterization
0.212022
Characterization Summary of Performance, Reliability, and Threshold Voltage Distribution of 3D Charge-Trap NAND Flash Memory · ACM Trans. Storage 2022

Methods — techniques the papers use, named apart from their topics

characterization methodology · 0.6
YearPublicationVenuePosition
2022 Characterization Summary of Performance, Reliability, and Threshold Voltage Distribution of 3D Charge-Trap NAND Flash Memory
abstract
Solid-state drive (SSD) gradually dominates in the high-performance storage scenarios. Three-dimension (3D) NAND flash memory owning high-storage capacity is becoming a mainstream storage component of SSD. However, the interferences of the new 3D charge-trap (CT) NAND flash are getting unprecedentedly complicated, yielding to many problems regarding reliability and performance. Alleviating these problems needs to understand the characteristics of 3D CT NAND flash memory deeply. To facilitate such understanding, in this article, we delve into characterizing the performance, reliability, and threshold voltage ( V th ) distribution of 3D CT NAND flash memory. We make a summary of these characteristics with multiple interferences and variations and give several new insights and a characterization methodology. Especially, we characterize the skewed ( V th ) distribution, ( V th ) shift laws, and the exclusive layer variation in 3D NAND flash memory. The characterization is the backbone of designing more reliable and efficient flash-based storage solutions.
Fei Wu 0005, Xiang Chen 0028, Meng Zhang 0014, Yu Wang 0168, Xiangfeng Lu, Changsheng Xie 0001
ACM Trans. Storage6
2019 Characterizing the Reliability and Threshold Voltage Shifting of 3D Charge Trap NAND Flash
abstract
3D charge trap (CT) triple-level cell (TLC) NAND flash gradually becomes a mainstream storage component due to high storage capacity and performance, but introducing a concern about reliability. Fault tolerance and data management schemes are capable of improving reliability. Designing a more efficient solution, however, needs to understand the reliability characteristics of 3D CT TLC NAND flash. To facilitate such understanding, by exploiting a real-world testing platform, we investigate the reliability characteristics including the raw bit error rate (RBER) and the threshold voltage (Vth) shifting features after suffering from variable disturbances. We give analyses of why these characteristics exist in 3D CT TLC NAND flash. We hope these observations can guide the designers to propose high efficient solutions to the reliability problem.
Fei Wu 0005, Meng Zhang 0014, Zhonghai Lu, Xiangfeng Lu, Changsheng Xie 0001
DATE6