kth.sePublikationer KTH
Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Benchmarking Ethernet Interconnect for HPC/AI workloads
University of Trento, University of Trento.
Sapienza University of Rome, Sapienza University of Rome.
Open Edge and HPC Initiative, Huawei.
ParTec AG, FZ Jülich, ParTec AG, FZ Jülich.
Visa övriga samt affilieringar
2024 (Engelska)Ingår i: Proceedings of SC 2024-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis, Institute of Electrical and Electronics Engineers (IEEE) , 2024, s. 869-875Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Interconnects have always played a cornerstone role In HPC. Since the Inception of the Top500 ranking, Interconnect statistics have been predominantly dominated by two competing technologies: InfiniBand and Ethernet. However, even if Ethernet is very popular due to versatility and cost-effectiveness, InfiniBand used to provide higher bandwidth and continues to feature lower latency. Industry seeks for a further evolution of the Ethernet standards to enable fast and low-latency interconnect for emerging AI workloads by offering competitive, open-standard solutions. This paper analyzes the early results obtained from two systems relying on an HPC Ethernet interconnect, one relying on 100G and the other on 200G Ethernet. Preliminary findings indicate that the Ethernet-based networks exhibit competitive performance, closely aligning with InfiniBand, especially for large message exchanges.

Ort, förlag, år, upplaga, sidor
Institute of Electrical and Electronics Engineers (IEEE) , 2024. s. 869-875
Nyckelord [en]
ethernet, gigabit ethernet, hpc/ai workloads, infiniband, interconnect
Nationell ämneskategori
Datorsystem
Identifikatorer
URN: urn:nbn:se:kth:diva-360171DOI: 10.1109/SCW63240.2024.00124ISI: 001451792300099Scopus ID: 2-s2.0-85217184791OAI: oai:DiVA.org:kth-360171DiVA, id: diva2:1938788
Konferens
2024 Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC Workshops 2024, Atlanta, United States of America, Nov 17 2024 - Nov 22 2024
Anmärkning

Part of ISBN 979-8-3503-5554-3

QC 20250224

Tillgänglig från: 2025-02-19 Skapad: 2025-02-19 Senast uppdaterad: 2025-12-08Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltextScopus

Person

Pleiter, Dirk

Sök vidare i DiVA

Av författaren/redaktören
Pleiter, Dirk
Av organisationen
Beräkningsvetenskap och beräkningsteknik (CST)
Datorsystem

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetricpoäng

doi
urn-nbn
Totalt: 38 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf