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High-Quality I/O Bandwidth Prediction with Minimal Data via Transfer Learning Workflow

; ; ; ;

In
2024 IEEE 36th International Symposium on Computer Architecture and High Performance Computing : SBAC-PAD 2024 : 13-15 November 2024, Hilo, USA : proceedings / general co-chairs: Gerald F. Lofstead, (Sandia National Laboratories, USA), Alfredo Goldman (University of Sao Paulo, Brazil), Seiten/Artikel-Nr: 93-104

Konferenz/Event:36. International Symposium on Computer Architecture and High Performance Computing , Hilo, HI , USA , SBAC-PAD , 2024-11-13 - 2024-11-15

ImpressumPiscataway, NJ : IEEE

Umfang93-104

ISBN979-8-3503-5616-8, 979-8-3503-5617-5, 9798350356168, 9798350356175

Online
DOI: 10.1109/SBAC-PAD63648.2024.00017


Einrichtungen

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



Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85212437144

Interne Identnummern
RWTH-2025-01924
Datensatz-ID: 1005671

Beteiligte Länder
Germany, USA

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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 Mathematics, Computer Science and Natural Sciences (Fac.1) > Department of Computer Science
Public records
Publications database
120000
123010
 Record created 2025-03-04, last modified 2025-06-18
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