Predicting running time of aerodynamic jobs in HPC system by combining supervised and unsupervised learning method

Location
Deutsche Nationalbibliothek Frankfurt am Main
ISSN
2524-6992
Extent
Online-Ressource
Language
Englisch
Notes
online resource.

Bibliographic citation
Predicting running time of aerodynamic jobs in HPC system by combining supervised and unsupervised learning method ; volume:3 ; number:1 ; day:1 ; month:8 ; year:2021 ; pages:1-18 ; date:12.2021
Advances in aerodynamics ; 3, Heft 1 (1.8.2021), 1-18, 12.2021

Creator
Wang, Hao
Dai, Yi-Qin
Yu, Jie
Dong, Yong
Contributor
SpringerLink (Online service)

DOI
10.1186/s42774-021-00077-8
URN
urn:nbn:de:101:1-2021102423510164107897
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:22 AM CEST

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Associated

  • Wang, Hao
  • Dai, Yi-Qin
  • Yu, Jie
  • Dong, Yong
  • SpringerLink (Online service)

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