MGC: Multiple-Gray-Code for 3D NAND Flash based High-Density SSDs

Yina Lv, Liang Shi, Qiao Li, Congming Gao, Yunpeng Song, Longfei Luo, Youtao Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

25 Scopus citations

Abstract

QLC (4-bit-per-cell) and more-bit-per-cell 3D NAND flash memories are increasingly adopted in large storage systems. While achieving significant cost reduction, these memories face degraded performance and reliability issues. The industry has adopted two-step programming (TSP), rather than one-step programming, to perform fine-granularity program control and choose gray-code encoding, as well as LDPC (Low-Density Parity-Check Code) for error correction. Different flash manufacturers often integrate different gray-codes in their products, which exhibit different performance and reliability characteristics. Unfortunately, a fixed gray-code encoding design lacks the ability to meet the dynamic read and program performance requirements at both application and device levels.In this paper, we propose MGC, a multiple-gray-code encoding strategy, that adaptively chooses the best gray-code to meet the optimization goals at runtime. In particular, MGC first extracts the performance and reliability requirements based on application-level access patterns and detects the reliability degree of SSD. It then determines the appropriate gray-code to encode the data, either from host/user application or due to garbage collection, before writing the pages to the flash memory. MGC is integrated in FTL (flash translation layer) and enhances the flash controller to enable runtime gray-code arbitration. We evaluate the proposed MGC scheme. The results show that MGC achieves better performance and lifetime guarantee compared with state-of-the-arts and introduces little overhead.

Original languageEnglish
Title of host publication2023 IEEE International Symposium on High-Performance Computer Architecture, HPCA 2023 - Proceedings
PublisherIEEE Computer Society
Pages122-136
Number of pages15
ISBN (Electronic)9781665476522
DOIs
StatePublished - 2023
Event29th IEEE International Symposium on High-Performance Computer Architecture, HPCA 2023 - Montreal, Canada
Duration: 25 Feb 20231 Mar 2023

Publication series

NameProceedings - International Symposium on High-Performance Computer Architecture
Volume2023-February
ISSN (Print)1530-0897

Conference

Conference29th IEEE International Symposium on High-Performance Computer Architecture, HPCA 2023
Country/TerritoryCanada
CityMontreal
Period25/02/231/03/23

Keywords

  • 3D NAND Flash
  • Gray-Code
  • Performance
  • Reliability
  • Storage System

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