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Hybrid Inference Optimization for AI-Enhanced Turbulent Boundary Layer Simulation on Heterogeneous Systems
Orland, Fabian (Corresponding author)RWTH* ; Hilgers, Tom (Corresponding author)RWTH* ; Hübenthal, Fabian (Corresponding author)RWTH* ; Sarma, Rakesh (Corresponding author) ; Lintermann, Andreas (Corresponding author) ; Terboven, Christian (Corresponding author)RWTH*
In
Proceedings of the Supercomputing Asia and International Conference on High Performance Computing in Asia Pacific Region Workshops, Seiten/Artikel-Nr: 165-176
2026
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
10.1145/3784828.3785255
DOI: 10.18154/RWTH-2026-01646
URL: http://publications.rwth-aachen.de/record/1028455/files/1028455.pdf
Einrichtungen
- Lehrstuhl für Hochleistungsrechnen (Informatik 12) (123010)
- IT Center (022000)
- Forschungszentrum Jülich GmbH (057700)
- Lehrstuhl für Strömungsmechanik und Aerodynamisches Institut (415110)
OpenAccess:
PDF
(additional files)
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
