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Near-Memory Processing Offload to Remote (Persistent) Memory

Published: 22 June 2023 Publication History

Abstract

Traditional Von Neumann computing architectures are struggling to keep up with the rapidly growing demand for scale, performance, power-efficiency and memory capacity. One promising approach to this challenge is Remote Memory, in which the memory is over RDMA fabric [1]. We enhance the remote memory architecture with Near Memory Processing (NMP), a capability that offloads particular compute tasks from the client to the server side as illustrated in Figure 1. Similar motivation drove IBM to offload object processing to their remote KV storage [2].
NMP offload adds latency and server resource costs, therefore, it should only be used when the offload value is substantial, specifically, to save: network bandwidth (e.g. Filter/Aggregate), round trip time (e.g. tree Lookup) and/or distributed locks (e.g. Append to a shared journal).

References

[1]
A. Golander, S. Taharlev, and Y. Korman. pmAddr: A persistent memory centric computing architecture. In the 15th Int. Conf. on Systems and Storage, SYSTOR '22, 2022.
[2]
D. Waddington, C. Dickey, L. Xu, M. Hershcovitch, and S. Seshadri. A highperformance persistent memory key-value store with near-memory compute, 2021.

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Published In

cover image ACM Conferences
SYSTOR '23: Proceedings of the 16th ACM International Conference on Systems and Storage
June 2023
168 pages
ISBN:9781450399623
DOI:10.1145/3579370
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s).

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 June 2023

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Author Tags

  1. compute offload
  2. PM
  3. SCM
  4. distributed systems

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  • Extended-abstract

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SYSTOR '23
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SYSTOR '23 Paper Acceptance Rate 12 of 30 submissions, 40%;
Overall Acceptance Rate 108 of 323 submissions, 33%

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