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Data Mining-Based Analysis of HPC Center Operations

; ; ;

In
2017 IEEE International Conference on Cluster Computing : CLUSTER 2017 : proceedings : 5-8 September 2017, Honolulu, Hawaii / sponsors: SIGHPC, IEEE Computer Society, Seiten/Artikel-Nr: 766-773

Konferenz/Event:2017 IEEE International Conference on Cluster Computing , Honolulu, HI , USA , IEEE Cluster 2017 , 2017-09-05 - 2017-09-08

ImpressumPiscataway, NJ : IEEE

Umfang766-773

ISBN978-1-5386-2326-8, 978-1-5386-2327-5

Online
DOI: 10.1109/CLUSTER.2017.23

URL: https://publications.rwth-aachen.de/record/706343/files/706343.pdf
URL: https://publications.rwth-aachen.de/record/706343/files/706343.pdf?subformat=pdfa

Einrichtungen

  1. IT Center (022000)
  2. Lehrstuhl für Informatik 12 (Hochleistungsrechnen) (123010)
  3. JARA - HPC (080012)
  4. E.ON Energy Research Center (080052)
  5. Lehrstuhl für Automation of Complex Power Systems (616310)
  6. Fachgruppe Informatik (120000)


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Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85032637445
WOS Core Collection: WOS:000413691000103

Interne Identnummern
RWTH-2017-08593
Datensatz-ID: 706343

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 Electrical Engineering and Information Technology (Fac.6)
Faculty of Computer Science (Fac.9)
Central and Other Institutions
Public records
Publications database
080052
120000
123010
616310
080012
022000
 Record created 2017-10-04, last modified 2025-10-31
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