Block size estimation for data partitioning in HPC applications using machine learning techniques
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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Block size estimation for data partitioning in HPC applications using machine learning techniques ; volume:11 ; number:1 ; day:16 ; month:1 ; year:2024 ; pages:1-23 ; date:12.2024
Journal of Big Data ; 11, Heft 1 (16.1.2024), 1-23, 12.2024
- Urheber
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Cantini, Riccardo
Marozzo, Fabrizio
Orsino, Alessio
Talia, Domenico
Trunfio, Paolo
Badia, Rosa M.
Ejarque, Jorge
Vázquez-Novoa, Fernando
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1186/s40537-023-00862-w
- URN
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urn:nbn:de:101:1-2024032721432741472731
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
2025-08-14T10:45:33+0200
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Beteiligte
- Cantini, Riccardo
- Marozzo, Fabrizio
- Orsino, Alessio
- Talia, Domenico
- Trunfio, Paolo
- Badia, Rosa M.
- Ejarque, Jorge
- Vázquez-Novoa, Fernando
- SpringerLink (Online service)
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