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Finding and Fixing Performance Pathologies in Persistent Memory Software Stacks

Authors:

Amirsaman Memaripour,

Steven SwansonAuthors Info & Claims

ASPLOS '19: Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems

Pages 427 - 439

https://doi.org/10.1145/3297858.3304077

Published: 04 April 2019 Publication History

Abstract

Emerging fast, non-volatile memories will enable systems with large amounts of non-volatile main memory (NVMM) attached to the CPU memory bus, bringing the possibility of dramatic performance gains for IO-intensive applications. This paper analyzes the impact of state-of-the-art NVMM storage systems on some of these applications and explores how those applications can best leverage the performance that NVMMs offer. Our analysis leads to several conclusions about how systems and applications should adapt to NVMMs. We propose FiLe Emulation with DAX (FLEX), a technique for moving file operations into user space, and show it and other simple changes can dramatically improve application performance. We examine the scalability of NVMM file systems in light of the rising core counts and pronounced NUMA effects in modern systems, and propose changes to Linux's virtual file system (VFS) to improve scalability. We also show that adding NUMA-aware interfaces to an NVMM file system can significantly improve performance.

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Li JSu JChen LLi CZhang KYang LNoh SXu Y(2024)Fastmove: A Comprehensive Study of On-Chip DMA and its Demonstration for Accelerating Data Movement in NVM-based Storage SystemsACM Transactions on Storage10.1145/365647720:3(1-30)Online publication date: 6-Jun-2024
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Index Terms

Finding and Fixing Performance Pathologies in Persistent Memory Software Stacks
1. Information systems
  1. Data management systems
    1. Database management system engines
      1. Database transaction processing
      2. Parallel and distributed DBMSs
        Key-value stores
  2. Information storage systems
    1. Information storage technologies
      1. Storage class memory
        Phase change memory
2. Software and its engineering
  1. Software organization and properties
    1. Contextual software domains
      1. Operating systems
        File systems management
        Memory management

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ASPLOS '19: Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems

April 2019

1126 pages

ISBN:9781450362405

DOI:10.1145/3297858

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Iris Bahar
Brown University
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Maurice Herlihy
Brown University
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University of Texas, Austin
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Duke University

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Cited By

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https://doi.org/10.1360/SSI-2022-0415
Habicht DKhalil YWerling LGröninger TBellosa F(2024)Fundamental OS Design Considerations for CXL-based Hybrid SSDsProceedings of the 2nd Workshop on Disruptive Memory Systems10.1145/3698783.3699380(51-59)Online publication date: 3-Nov-2024
https://dl.acm.org/doi/10.1145/3698783.3699380
Li JSu JChen LLi CZhang KYang LNoh SXu Y(2024)Fastmove: A Comprehensive Study of On-Chip DMA and its Demonstration for Accelerating Data Movement in NVM-based Storage SystemsACM Transactions on Storage10.1145/365647720:3(1-30)Online publication date: 6-Jun-2024
https://dl.acm.org/doi/10.1145/3656477
Ding BTong WHua YChen ZWei XFeng D(2024)Enabling Reliable Memory-Mapped I/O With Auto-Snapshot for Persistent Memory SystemsIEEE Transactions on Computers10.1109/TC.2024.341668373:9(2290-2304)Online publication date: Sep-2024
https://doi.org/10.1109/TC.2024.3416683
Su JLi JChen LLi CZhang KYang LNoh SXu YNaor DGoel A(2023)Revitalizing the forgotten on-chip DMA to expedite data movement in NVM-based storage systemsProceedings of the 21st USENIX Conference on File and Storage Technologies10.5555/3585938.3585961(363-378)Online publication date: 21-Feb-2023
https://dl.acm.org/doi/10.5555/3585938.3585961
Zhong SYe CHu GQu SArpaci-Dusseau AArpaci-Dusseau RSwift MNaor DGoel A(2023)MadFSProceedings of the 21st USENIX Conference on File and Storage Technologies10.5555/3585938.3585955(265-279)Online publication date: 21-Feb-2023
https://dl.acm.org/doi/10.5555/3585938.3585955
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https://doi.org/10.3390/app132011528
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