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Binglu Chen

dblp:333/3455 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2023
—ORCID · none

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

Systems, architecture and hardware · 2 · 2 since 2021

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 · 60% Hardware reliability and fault tolerance · 20% Memory systems · 20%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Storage systems › flash and SSD › flash memory › NAND flash
3D NAND flash
0.712023
High-Precision Short-Term Lifetime Prediction in TLC 3-D NAND Flash Memory as Hot-Data Storage · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2023
Storage systems › flash and SSD
flash memory
0.712023
High-Precision Short-Term Lifetime Prediction in TLC 3-D NAND Flash Memory as Hot-Data Storage · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2023
Hardware reliability and fault tolerance › reliability analysis
lifetime prediction
0.712023
High-Precision Short-Term Lifetime Prediction in TLC 3-D NAND Flash Memory as Hot-Data Storage · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2023
Memory systems › DRAM
rowhammer
0.712023
High-Precision Short-Term Lifetime Prediction in TLC 3-D NAND Flash Memory as Hot-Data Storage · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2023
Storage systems
storage reliability
0.712023
High-Precision Short-Term Lifetime Prediction in TLC 3-D NAND Flash Memory as Hot-Data Storage · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2023

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

low-density parity-check code · 0.7fail bit count prediction · 0.7
YearPublicationVenuePosition
2023 High-Precision Short-Term Lifetime Prediction in TLC 3-D NAND Flash Memory as Hot-Data Storage
abstract
3-D NAND flash memory is the ubiquitous nonvolatile memory (NVM) on the market because of its large storage capacities, high reliability, and low bit cost. The reliability characteristics of 3-D NAND flash memory, however, are considerably different from those of 2-D NAND flash memory due to the peculiar architectures. In this article, read disturb (RD) at various program/erase (P/E) stages is thoroughly explored. To adjust the low-density parity check (LDPC) codes dynamically and extend the lifetime of 3-D NAND flash memory, short-term lifetime prediction models of RD and endurance are proposed based on in-depth studies on the correlations of fail bit count (FBC) at various lifetime stages, and their accuracy is tested experimentally. A new short-term warning system (STWS) is proposed to extend the lifetime of 3-D NAND-based storages. It consists of the error-bits’ prediction module (EBPM) and the self-adjustable LDPC codes module (SLDPC), where EBPM predicts FBC periodically and SLDPC preallocates LDPC codes for future use based on the result of EBPM. The experimental result shows that our prediction models have high reliability, and STWS can effectively prolong the lifetime of NAND flash. The findings of this study provide fundamental insights into FBC degradation in 3-D NAND flash, as well as a simple and practical method for building 3-D NAND-based storage with high reliability.
Xiaotong Fang, Meng Zhang 0014, Binglu Chen, Xuepeng Zhan, Fei Wu 0005, Jiezhi Chen
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.5
2022 Work-in-Progress: High-Precision Short-Term Lifetime Prediction in TLC 3D NAND Flash Memory as Hot-data Storage
abstract
In this paper, read disturb (RD) at various program/erase (P/E) stages has been thoroughly explored, and short-term lifetime prediction models of RD and endurance are proposed. Based on these, a new short-term warning system (STWS) is proposed, which can extend the lifetime of 3D NAND-based storage by adjusting LDPC codes dynamically. The experimental result shows that the proposed prediction models have high reliabilities, and STWS can effectively prolong the lifetime of NAND flash.
Xiaotong Fang, Meng Zhang 0014, Binglu Chen, Xuepeng Zhan, Fei Wu 0005, Jiezhi Chen
CASES5