research-article

Reducing LDPC Soft Sensing Latency by Lightweight Data Refresh for Flash Read Performance Improvement

Authors:

Chun Jason XueAuthors Info & Claims

DAC '17: Proceedings of the 54th Annual Design Automation Conference 2017

Article No.: 23, Pages 1 - 6

https://doi.org/10.1145/3061639.3062309

Published: 18 June 2017 Publication History

Abstract

In order to relieve reliability problem caused by technology scaling, LDPC codes have been widely applied in flash memories to provide high error correction capability. However, LDPC read performance slowdown along with data retention largely weakens the access speed advantage of flash memories. This paper considers to apply the concept of refresh, that were used for flash lifetime improvement, to optimize flash read performance. Exploiting data read characteristics, this paper proposes LDR, a lightweight data refresh method, that aggressively corrects errors in read-hot pages with long read latency and reprograms error-free data into new pages. Experimental results show that LDR can achieve 29% read performance improvement with only 0.2% extra P/E cycles on average, which causes negligible overhead on flash lifetime.

References

[1]

MSR cambridge traces. http://iotta.snia.org/tracetypes/3. Accessed: 2016--11.

[2]

Samsung 750 EVO SSD review 2016. http://www.tomshardware.com/reviews/samsung-750-evo-ssd,4467.html. Accessed: 2016--11.

[3]

UMass trace repository. http://traces.cs.umass.edu/index.php/Storage/Storage. Accessed: 2016--11.

[4]

N. Agrawal, V. Prabhakaran, T. Wobber, J. D. Davis, M. S. Manasse, and R. Panigrahy. Design tradeoffs for SSD performance. In USENIX Annual Technical Conference, pages 57--70, 2008.

Digital Library

[5]

Y. Cai, Y. Luo, E. F. Haratsch, K. Mai, and O. Mutlu. Data retention in MLC NAND flash memory: Characterization, optimization, and recovery. In 2015 IEEE 21st International Symposium on High Performance Computer Architecture (HPCA), pages 551--563. IEEE, 2015.

[6]

Y. Cai, G. Yalcin, O. Mutlu, E. F. Haratsch, A. Cristal, O. S. Unsal, and K. Mai. Flash correct-and-refresh: Retention-aware error management for increased flash memory lifetime. In Computer Design (ICCD), 2012 IEEE 30th International Conference on, pages 94--101. IEEE, 2012.

Digital Library

[7]

Y. Di, L. Shi, K. Wu, and C. J. Xue. Exploiting process variation for retention induced refresh minimization on flash memory. In 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE), pages 391--396. IEEE, 2016.

Digital Library

[8]

J. Guo, W. Wen, J. Hu, D. Wang, H. Li, and Y. Chen. Flexlevel NAND flash storage system design to reduce LDPC latency. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2016.

[9]

Q. Li, L. Shi, C. J. Xue, K. Wu, C. Ji, Q. Zhuge, and E. H.-M. Sha. Access characteristic guided read and write cost regulation for performance improvement on flash memory. In Proceedings of the 14th Usenix Conference on File and Storage Technologies, pages 125--132. USENIX Association, 2016.

Digital Library

[10]

R.-S. Liu, M.-Y. Chuang, C.-L. Yang, C.-H. Li, K.-C. Ho, and H.-P. Li. Improving read performance of NAND flash SSDs by exploiting error locality. IEEE Transactions on Computers, 65(4):1090--1102, 2016.

Digital Library

[11]

Y. Luo, Y. Cai, S. Ghose, J. Choi, and O. Mutlu. WARM: Improving NAND flash memory lifetime with write-hotness aware retention management. In 2015 31st Symposium on Mass Storage Systems and Technologies (MSST), pages 1--14. IEEE, 2015.

[12]

D. J. MacKay. Good error-correcting codes based on very sparse matrices. Information Theory, IEEE Transactions on, 45(2):399--431, 1999.

Digital Library

[13]

M. Murugan and D. H. Du. Rejuvenator: A static wear leveling algorithm for NAND flash memory with minimized overhead. In 2011 IEEE 27th Symposium on Mass Storage Systems and Technologies (MSST), pages 1--12. IEEE, 2011.

Digital Library

[14]

Y. Pan, G. Dong, Q. Wu, and T. Zhang. Quasi-nonvolatile SSD: Trading flash memory nonvolatility to improve storage system performance for enterprise applications. In High Performance Computer Architecture (HPCA), 2012 IEEE 18th International Symposium on, pages 1--10. IEEE, 2012.

Digital Library

[15]

B. Shen, Y. Li, Y. Xu, and Y. Pan. A light-weight hot data identification scheme via grouping-based LRU lists. In International Conference on Algorithms and Architectures for Parallel Processing, pages 88--103. Springer, 2015.

[16]

K. Zhao, W. Zhao, H. Sun, X. Zhang, N. Zheng, and T. Zhang. LDPC-in-SSD: making advanced error correction codes work effectively in solid state drives. In Presented as part of the 11th USENIX Conference on File and Storage Technologies (FAST 13), pages 243--256, 2013.

Digital Library

Cited By

Tian HTang JLi JSha ZYang FCai ZLiao J(2024)Modeling Retention Errors of 3D NAND Flash for Optimizing Data PlacementACM Transactions on Design Automation of Electronic Systems10.1145/365910129:4(1-24)Online publication date: 16-Apr-2024
https://dl.acm.org/doi/10.1145/3659101
Chiang KLi YWang WShih WHong JPark J(2024)On Enhancing Data Integrity with Low-cost Retention-Refillable Programming SchemeProceedings of the 39th ACM/SIGAPP Symposium on Applied Computing10.1145/3605098.3635905(420-427)Online publication date: 8-Apr-2024
https://dl.acm.org/doi/10.1145/3605098.3635905
Song YLv YShi L(2024)Adaptive Differential Wearing for Read Performance Optimization on High-Density nand Flash MemoryIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems10.1109/TCAD.2023.329797143:1(380-393)Online publication date: Jan-2024
https://doi.org/10.1109/TCAD.2023.3297971
Show More Cited By

Index Terms

Reducing LDPC Soft Sensing Latency by Lightweight Data Refresh for Flash Read Performance Improvement
1. Computer systems organization
  1. Dependable and fault-tolerant systems and networks
    1. Reliability
  2. Embedded and cyber-physical systems
    1. Embedded systems
      1. Firmware

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cover image ACM Conferences

DAC '17: Proceedings of the 54th Annual Design Automation Conference 2017

June 2017

533 pages

ISBN:9781450349277

DOI:10.1145/3061639

Copyright © 2017 ACM.

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EDAC: Electronic Design Automation Consortium
SIGDA: ACM Special Interest Group on Design Automation
IEEE-CEDA

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SIGBED: ACM Special Interest Group on Embedded Systems

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 June 2017

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Research-article
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Refereed limited

Funding Sources

National 973 Fundamental Basic Research Program
National Science Foundation of China
National 863 Program

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DAC '17

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EDAC
SIGDA

DAC '17: The 54th Annual Design Automation Conference 2017

June 18 - 22, 2017

TX, Austin, USA

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Overall Acceptance Rate 1,770 of 5,499 submissions, 32%

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DAC '25

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sigda

62nd ACM/IEEE Design Automation Conference

June 22 - 26, 2025

San Francisco , CA , USA

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Citations

Cited By

Tian HTang JLi JSha ZYang FCai ZLiao J(2024)Modeling Retention Errors of 3D NAND Flash for Optimizing Data PlacementACM Transactions on Design Automation of Electronic Systems10.1145/365910129:4(1-24)Online publication date: 16-Apr-2024
https://dl.acm.org/doi/10.1145/3659101
Chiang KLi YWang WShih WHong JPark J(2024)On Enhancing Data Integrity with Low-cost Retention-Refillable Programming SchemeProceedings of the 39th ACM/SIGAPP Symposium on Applied Computing10.1145/3605098.3635905(420-427)Online publication date: 8-Apr-2024
https://dl.acm.org/doi/10.1145/3605098.3635905
Song YLv YShi L(2024)Adaptive Differential Wearing for Read Performance Optimization on High-Density nand Flash MemoryIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems10.1109/TCAD.2023.329797143:1(380-393)Online publication date: Jan-2024
https://doi.org/10.1109/TCAD.2023.3297971
Wu WHsieh JKu H(2024)CDS: Coupled Data Storage to Enhance Read Performance of 3D TLC NAND Flash MemoryIEEE Transactions on Computers10.1109/TC.2023.333847473:3(694-707)Online publication date: Mar-2024
https://doi.org/10.1109/TC.2023.3338474
Chen JLi PXie P(2023)Flash-Based Solid-State Storage Reduces LDPC Read Retry SchemeProceedings of the 7th International Conference on Computer Science and Application Engineering10.1145/3627915.3628024(1-6)Online publication date: 17-Oct-2023
https://dl.acm.org/doi/10.1145/3627915.3628024
Zhang MZhang XWu FTao KZhu FLi SZhao YXie C(2023)ALCod: Adaptive LDPC Coding for 3-D NAND Flash Memory Using Inter-Layer RBER VariationIEEE Transactions on Consumer Electronics10.1109/TCE.2023.331963869:4(1068-1081)Online publication date: Nov-2023
https://doi.org/10.1109/TCE.2023.3319638
Wang TTsao CChang YKuo T(2023)Retention-Aware Read Acceleration Strategy for LDPC-Based NAND Flash MemoryIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems10.1109/TCAD.2023.328932842:12(4597-4605)Online publication date: Dec-2023
https://doi.org/10.1109/TCAD.2023.3289328
Lv YShi LSong YXue C(2023)Access Characteristic Guided Partition for Nand Flash-Based High-Density SSDsIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems10.1109/TCAD.2023.328217542:12(4643-4656)Online publication date: Dec-2023
https://doi.org/10.1109/TCAD.2023.3282175
Lv YShi LLi QGao CSong YLuo LZhang Y(2023)MGC: Multiple-Gray-Code for 3D NAND Flash based High-Density SSDs2023 IEEE International Symposium on High-Performance Computer Architecture (HPCA)10.1109/HPCA56546.2023.10070946(122-136)Online publication date: Feb-2023
https://doi.org/10.1109/HPCA56546.2023.10070946
Chen JLi PXie P(2023)Combining Cache and Refresh to Optimize SSD Read Performance SchemeAdvanced Parallel Processing Technologies10.1007/978-981-99-7872-4_7(113-129)Online publication date: 8-Nov-2023
https://doi.org/10.1007/978-981-99-7872-4_7
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