Cited by 30Interconnection Networks and SystemsDistributed and Parallel Computing SystemsCloud Computing and Resource Management

The DOI matches its Crossref record.

The Convergence of Hyperscale Data Center and High-Performance Computing Networks

Abstract

We discuss the differences and commonalities between network technologies used in supercomputers and data centers and outline a path to convergence at multiple layers. We predict that emerging smart networking solutions will accelerate that convergence.

Overview

Integrity signals

Registry

Crossref · 10.1109/mc.2022.3158437

Cites

Statistics

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Verification

Claims the paper makes

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Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Hyperscale data centers enable large-scale training of AI models by allowing high-speed interconnection of thousands of compute nodes as a single supercomputer.

    “These large, monolithic concentrations of servers enable the large-scale training of AI models, since it allows the high-speed interconnection of thousands of compute nodes serving as a single supercomputer [51].”

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 22

  1. 10.1145/2807591.2807652 · DOI
  2. rothenberger, 0, ReDMArk: Bypassing RDMA security mechanisms, Proc Usenix Security Symp
  3. taranov, 0, sRDMA – Efficient NIC-based authentication and encryption for remote direct memory access, Proc USENIX Annu Tech Conf
  4. 10.1145/3295500.3356196 · DOI
  5. 10.1145/1048935.1050204 · DOI
  6. 10.1142/S0129626409000420 · DOI
  7. 10.1007/3-540-45255-9_20 · DOI
  8. 10.1145/2780584 · DOI
  9. soumagne, 2020, Advancing RPC for data services at exascale, IEEE Data Eng Bull, 43, 23
  10. 10.1145/3015146 · DOI
  11. 10.1145/1362622.1362692 · DOI
  12. 10.1145/1837853.1693476 · DOI
  13. 10.1145/2678373.2665678 · DOI
  14. 10.1109/SC.2010.12 · DOI
  15. ajima, 0, High-dimensional interconnect technology for the K computer and the supercomputer Fugaku
  16. 10.1109/SC41405.2020.00039 · DOI
  17. 10.1145/2408776.2408794 · DOI · Paper page
  18. 2012, MPI A Message Passing Interface Standard
  19. 10.1145/1394608.1382129 · DOI
  20. 10.1145/3126908.3126970 · DOI
  21. 10.1145/3458817.3476178 · DOI
  22. 10.1109/ISCA52012.2021.00079 · DOI

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Metadata

Authors
Hoefler, T., Hendel, A., & Roweth, D.
Venue
Computer
Published
2022-07
Volume
55
Issue
7
Pages
29-37
ISSN
  • 0018-9162 (ISSN-L)
  • 1558-0814
OpenAlex
W4283709133
Cited by
30
References
0
Citations by year
2026: 9 · 2025: 10 · 2024: 7 · 2023: 4
FWCI
2.33
Type
journal article
Language
en
Open access
closed
Locations
Computer (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Networks and Communications › Interconnection Networks and Systems
  • Physical Sciences › Computer Science › Computer Networks and Communications › Distributed and Parallel Computing Systems
  • Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
Keywords
hyperscale data centers, high-performance computing networks, supercomputers, network architecture

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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