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
Country/TerritoryUnited States
CityBoston
Period20/6/820/6/12

Bibliographical note

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

Funding Information:
This research is supported by NSF grants 1439021, 1439057, 1409095, 1626251, 1629915, 1629129, 1526750 and 1908793, and a grant from Intel. Dr. Jung is supported in part by NRF 2016R1C1B2015312, DOE DE-AC02-05CH 11231, NRF-2015M3C4A7065645, KAIST Start-Up Grant (G01190015), and MemRay grant (G01190170). AMD, the AMD Arrow logo, and combinations thereof are trademarks of Advanced Micro Devices, Inc. Other product names used in this publication are for identifcation purposes only and may be trademarks of their respective companies.

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

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

Publisher Copyright:
© 2019 Owner/Author.

All Science Journal Classification (ASJC) codes

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

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