Centaur: A Novel Architecture for Reliable, Low-Wear, High-Density 3D NAND Storage

Chun Yi Liu, Jagadish Kotra, Myoungsoo Jung, Mahmut Taylan Kandemir

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Due to the high density storage demand coming from applications from different domains, 3D NAND flash is becoming a promising candidate to replace 2D NAND flash as the dominant non-volatile memory. However, denser 3D NAND presents various performance and reliability issues, which can be addressed by the 3D NAND specific full-sequence program (FSP) operation. The FSP programs multiple pages simultaneously to mitigate the performance degradation caused by the long latency 3D NAND baseline program operations. However, the FSP-enabled 3D NAND-based SSDs introduce lifetime degradation due to the larger write granularities accessed by the FSP. To address the lifetime issue, in this paper, we propose and experimentally evaluate Centaur, a heterogeneous 2D/3D NAND heterogeneous SSD, as a solution. Centaur has three main components: a lifetime-aware inter-NAND request dispatcher, a lifetime-aware inter-NAND work stealer, and a data migration strategy from 2D NAND to 3D NAND. We used twelve SSD workloads to compare Centaur against a state-of-the-art 3D NAND-based SSD with the same capacity. Our experimental results indicate that the SSD lifetime and performance are improved by 3.7x and 1.11x, respectively, when using our 2D/3D heterogeneous SSD.

Original languageEnglish
Title of host publicationSIGMETRICS Performance 2020 - Abstracts of the 2020 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems
PublisherAssociation for Computing Machinery, Inc
Pages93-94
Number of pages2
ISBN (Electronic)9781450379854
DOIs
Publication statusPublished - 2020 Jun 8
Event2020 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS 2020 - Boston, United States
Duration: 2020 Jun 82020 Jun 12

Publication series

NameSIGMETRICS Performance 2020 - Abstracts of the 2020 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems

Conference

Conference2020 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS 2020
CountryUnited States
CityBoston
Period20/6/820/6/12

Bibliographical note

Funding Information:
This research is supported by NSF grants 1439021, 1439057, 1409095,

Funding Information:
1626251, 1629915, 1629129, 1526750 and 1908793, and a grant from

Funding Information:
Intel. Dr. Jung is supported in part by NRF 2016R1C1B2015312, DOE

Funding Information:
Grant (G01190015), and MemRay grant (G01190170). AMD, the

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Computer Networks and Communications
  • Computational Theory and Mathematics

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