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Hybrid Inference Optimization for AI-Enhanced Turbulent Boundary Layer Simulation on Heterogeneous Systems

; ; ; ; ;

In
Proceedings of the Supercomputing Asia and International Conference on High Performance Computing in Asia Pacific Region Workshops, Seiten/Artikel-Nr: 165-176

Konferenz/Event:SCA/HPCAsia 2026 Workshops: Supercomputing Asia and International Conference on High Performance Computing in Asia Pacific Region Workshops , Osaka , Japan , SCA/HPCAsiaWS 2026 , 2026-01-26 - 2026-01-29

Impressum[Erscheinungsort nicht ermittelbar] : Association for Computing Machinery

Umfang165-176

ISBN979-8-4007-2328-5, 9798400723285

ReiheACM Other conferences

Online
DOI: 10.1145/3784828.3785255

DOI: 10.18154/RWTH-2026-01646
URL: http://publications.rwth-aachen.de/record/1028455/files/1028455.pdf

Einrichtungen

  1. Lehrstuhl für Hochleistungsrechnen (Informatik 12) (123010)
  2. IT Center (022000)
  3. Forschungszentrum Jülich GmbH (057700)
  4. Lehrstuhl für Strömungsmechanik und Aerodynamisches Institut (415110)


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Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Interne Identnummern
RWTH-2026-01646
Datensatz-ID: 1028455

Beteiligte Länder
Germany

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Creative Commons Attribution CC BY 4.0 ; OpenAccess

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Faculty of Computer Science (Fac.9)
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123010
415110
022000

 Record created 2026-02-10, last modified 2026-02-14


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