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Factors Impacting I/O Time Proportion in AI Workloads

; ;

In
Proceedings of the 34th International Symposium on High-Performance Parallel and Distributed Computing

Konferenz/Event:34. International Symposium on High-Performance Parallel and Distributed Computing , Notre Dame, IN , USA , HPDC 2025 , 2025-07-20 - 2025-07-23

: ACM New York, NY, USA

ISBN979-8-4007-1869-4, 9798400718694

Online
DOI: 10.1145/3731545.3736815


Einrichtungen

  1. Lehrstuhl für Hochleistungsrechnen (Informatik 12) (123010)
  2. Fachgruppe Informatik (120000)



Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105017970540
WOS Core Collection: WOS:001591519400039

Interne Identnummern
RWTH-2025-07853
Datensatz-ID: 1018454

Beteiligte Länder
Germany

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The record appears in these collections:
Document types > Events > Contributions to a conference proceedings
Document types > Books > Contributions to a book
Faculty of Computer Science (Fac.9)
Documents in print
Public records
120000
123010
 Record created 2025-09-17, last modified 2025-12-10
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