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Correlating Sub-Phenomena in Performance Data in the Frequency Domain

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Konferenz/Event:6. IEEE Symposium on Large Data Analysis and Visualization , Baltimore, MD , USA , 2016-10-23 - 2016-10-23

Konferenz/Event:IEEE VIS 2016 , Baltimore, MD , USA , 2016-10-23 - 2016-10-23

Online
URL: https://publications.rwth-aachen.de/record/682968/files/Vierjahn_LDAV16_paper_fin.pdf
URL: https://publications.rwth-aachen.de/record/682968/files/Vierjahn_LDAV16_paper_fin.pdf?subformat=pdfa

Einrichtungen

  1. Lehr- und Forschungsgebiet Immersive Visualisierung (124620)
  2. Lehrstuhl für Informatik 12 (Hochleistungsrechnen) (123010)
  3. Fachgruppe Informatik (120000)
  4. JARA - HPC (080012)


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Dokumenttyp
Poster

Format
online, print

Sprache
English

Interne Identnummern
RWTH-2017-01144
Datensatz-ID: 682968

Beteiligte Länder
Germany

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Related:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Contribution to a book/Contribution to a conference proceedings  ;  ;  ;  ;  ;
Correlating sub-phenomena in performance data in the frequency domain
IEEE Symposium on Large Data Analysis and Visualization 2016 : Baltimore, Maryland, USA, 23 October 2016 : proceedings / edited by Markus Hadwiger, Ross Maciejewski, Kenneth Moreland ; sponsored by the IEEE Visualization and Graphics Technical Committee (VGTC).
IEEE 6. Symposium on Large Data Analysis and Visualization, LDAV, Baltimore, MDBaltimore, MD, USA, 23 Oct 2016 - 28 Oct 20162016-10-232016-10-28
Piscataway, NJ : IEEE 105-106 () [10.1109/LDAV.2016.7874340]  GO BibTeX | EndNote: XML, Text | RIS


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120000
123010
080012
124620

 Record created 2017-01-27, last modified 2022-12-21