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A Prototype for Pipeline-Composable Task-Based Visualization Algorithms

; ; ; ;

In
2022 IEEE 12th Symposium on Large Data Analysis and Visualization : LDAV 2022 : Oklahoma City, USA (hybrid), 16 October 2022 : proceedings / symposium chairs: Peer-Timo Bremer (Lawrence Livermore National Laboratory), Kristi Potter (National Renewable Energy Laboratory), Chaoli Wang (University of Notre Dame), Seiten/Artikel-Nr: 25-35

Konferenz/Event:12. Symposium on Large Data Analysis and Visualization , Oklahoma City, OK , USA , LDAV 2022 , 2022-10-16 - 2022-10-16

ImpressumPiscataway, NJ : IEEE

Umfang25-35

ISBN978-1-6654-9156-3, 978-1-6654-9157-0

Online
DOI: 10.1109/LDAV57265.2022.9966395


Einrichtungen

  1. Lehr- und Forschungsgebiet Virtuelle Realität und Immersive Visualisierung (124620)
  2. Fachgruppe Informatik (120000)



Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85144609569
WOS Core Collection: WOS:000904305700005

Interne Identnummern
RWTH-2023-01419
Datensatz-ID: 945095

Beteiligte Länder
Germany

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Document types > Events > Contributions to a conference proceedings
Document types > Books > Contributions to a book
Faculty of Computer Science (Fac.9)
Public records
Publications database
120000
124620
 Record created 2023-02-13, last modified 2023-03-30
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