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Enhancing Polar Codes Efficiency on 3D Flash Memory by Exploiting Multiple Error Variations

Published:07 June 2023Publication History

ABSTRACT

3D flash memory is becoming the mainstream of Solid-State Drives (SSDs) because of its large storage capacity achieved by vertically stacking planar flash into multiple layers. This special vertical structure introduces two additional error sources: the intra-wordline error variation between upper pages and lower pages inside the same wordlines, and the inter-layer error variation across different layers inside one flash block. Recent works have studied polar code in flash memory, which is the first Error Checking and Correcting (ECC) that is proven to reach the Shannon's channel capacity. However, due to the special error characteristic mentioned above, polar codes cannot display effective error correction capabilities in 3D flash.

This paper initially analyzes the challenges of polar codes and proposes an effective polar code design for 3D flash memories, named as Error Variation Aware Polar Code (EvaPC). By exploiting layer-induced error variations and characteristics of polar code encoding/decoding, we implement two schemes: intra-wordline error aware data placement and layer-adaptive polar code. The former places important bits of codewords into lower pages with lower error rates, while the latter applies varied polar code rates across different layers to improve space efficiency by providing equivalent ECC capability. A series of experimental results show that EvaPC can enable polar codes on 3D flash memories with efficient error correction capability and space utilization efficiency.

References

  1. E. Arikan. 2009. Channel Polarization: A Method for Constructing Capacity-Achieving Codes for Symmetric Binary-Input Memoryless Channels. IEEE Transactions on Information Theory 55, 7 (2009), 3051--3073.Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Shuo Han Chen, Yen Ting Chen, Hsin Wen Wei, and Wei Kuan Shih. 2017. Boosting the Performance of 3D Charge Trap NAND Flash with Asymmetric Feature Process Size Characteristic. In DAC. 83.Google ScholarGoogle Scholar
  3. Sae-Young Chung, Thomas J. Richardson, and Rüdiger L. Urbanke. 2001. Analysis of sum-product decoding of low-density parity-check codes using a Gaussian approximation. IEEE Trans. Information Theory 47, 2 (2001), 657--670.Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Luca Crippa and Rino Micheloni. 2016. 3D Charge Trap NAND Flash Memories. In 3D Flash Memories. 85--127. Google ScholarGoogle ScholarCross RefCross Ref
  5. Chong Leong Gan and Uda Hashim. 2016. 3D Flash Memories. Microelectronics Reliability 65 (2016), 327--328. Google ScholarGoogle ScholarCross RefCross Ref
  6. Congming Gao, Min Ye, Qiao Li, Chun Jason Xue, Youtao Zhang, Liang Shi, and Jun Yang. 2019. Constructing Large, Durable and Fast SSD System via Reprogramming 3D TLC Flash Memory. In MICRO. 493--505.Google ScholarGoogle Scholar
  7. K. Hsu, C. Tsao, Y. Chang, T. W. Kuo, and Y. Huang. 2018. Proactive channel adjustment to improve polar code capability for flash storage devices. IEEE.Google ScholarGoogle Scholar
  8. N. Hussami, S. B. Korada, and R. Urbanke. 2009. Performance of Polar Codes for Channel and Source Coding. IEEE.Google ScholarGoogle Scholar
  9. Dongku Kang, Minsu Kim, Su Chang Jeon, Wontaeck Jung, Jooyong Park, Gyosoo Choo, et al. 2019. A 512Gb 3-bit/Cell 3D 6th-Generation V-NAND Flash Memory with 82MB/s Write Throughput and 1.2Gb/s Interface. In ISSCC. 216--218. Google ScholarGoogle ScholarCross RefCross Ref
  10. Chulbum Kim, Doo-Hyun Kim, Woopyo Jeong, Hyun-Jin Kim, Il Han Park, Hyun-Wook Park, JongHoon Lee, JiYoon Park, Yang-Lo Ahn, Ji Young Lee, et al. 2018. A 512-Gb 3-b/Cell 64-Stacked WL 3-D-NAND Flash Memory. IEEE Journal of Solid-State Circuits 53, 1 (2018), 124--133.Google ScholarGoogle ScholarCross RefCross Ref
  11. S. Lee, C. Kim, and M. Kim et al. 2018. A 1Tb 4b/cell 64-stacked-WL 3D NAND flash memory with 12MB/s program throughput. In ISSCC. 340--342. Google ScholarGoogle ScholarCross RefCross Ref
  12. Qing Li, Anxiao Jiang, and Erich F. Haratsch. 2014. Noise modeling and capacity analysis for NAND flash memories. In 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29 - July 4, 2014. 2262--2266.Google ScholarGoogle ScholarCross RefCross Ref
  13. Yue Li, Hakim Alhussien, Erich F. Haratsch, and Anxiao Andrew Jiang. 2015. A study of polar codes for MLC NAND flash memories. In ICNC. 608--612.Google ScholarGoogle Scholar
  14. Weihua Liu, Fei Wu, Meng Zhang, Yifei Wang, Zhonghai Lu, Xiangfeng Lu, and Changsheng Xie. 2019. Characterizing the Reliability and Threshold Voltage Shifting of 3D Charge Trap NAND Flash. In DATE. 312--315. Google ScholarGoogle ScholarCross RefCross Ref
  15. Yixin Luo, Saugata Ghose, Yu Cai, Erich F Haratsch, and Onur Mutlu. 2018. Improving 3D NAND flash memory lifetime by tolerating early retention loss and process variation. In Abstracts of the 2018 ACM International Conference on Measurement and Modeling of Computer Systems. ACM, 106--106.Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Rino Micheloni, Luca Crippa, Cristian Zambelli, and Piero Olivo. 2017. Architectural and Integration Options for 3D NAND Flash Memories. Computers 6, 3 (2017), 27. Google ScholarGoogle ScholarCross RefCross Ref
  17. N. Papandreou, H. Pozidis, T. Parnell, N. Ioannou, and T. Fisher. 2019. Characterization and Analysis of Bit Errors in 3D TLC NAND Flash Memory. In IRPS.Google ScholarGoogle Scholar
  18. Ido Tal and Alexander Vardy. 2012. List Decoding of Polar Codes. CoRR abs/1206.0050 (2012). arXiv:1206.0050 http://arxiv.org/abs/1206.0050Google ScholarGoogle Scholar
  19. Ido Tal and Alexander Vardy. 2013. How to Construct Polar Codes. IEEE Trans. Information Theory 59, 10 (2013), 6562--6582.Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Toshiba. 2017. 3D Flash Memory: Scalable, High Density Storage for Large Capacity Applications. https://www.toshiba.com/tma/technologymoves/3d-flash.jsp. Accessed: 2018-11.Google ScholarGoogle Scholar
  21. P. Trifonov. 2012. Efficient Design and Decoding of Polar Codes. IEEE Transactions on Communications 60, 11 (2012), 3221--3227.Google ScholarGoogle ScholarCross RefCross Ref
  22. Fei Wu, Zuo Lu, You Zhou, Xubin He, Zhi-hu Tan, and Changsheng Xie. 2018. OSPADA: One-Shot Programming Aware Data Allocation Policy to Improve 3D NAND Flash Read Performance. In ICCD. 51--58.Google ScholarGoogle Scholar
  23. F. Wu, Y. Zhu, Q. Xiong, Z. Lu, Y. Zhou, W. Kong, and C. Xie. 2018. Characterizing 3D Charge Trap NAND Flash: Observations, Analyses and Applications. In ICCD. 381--388. Google ScholarGoogle ScholarCross RefCross Ref
  24. Yi Zhong, Chun Zhang, Chenrong Xiong, and Zhiyuan Yan. 2017. Multi-rate polar codes for solid state drives. In ICASSP. 1128--1132.Google ScholarGoogle Scholar

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      • Published in

        cover image ACM Conferences
        SAC '23: Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing
        March 2023
        1932 pages
        ISBN:9781450395175
        DOI:10.1145/3555776

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        Publication History

        • Published: 7 June 2023

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