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GPU-BASED DEEP LEARNING FOR AERODYNAMICS

Wassing, Simon and Hines Chaves, Derrick Armando (2025) GPU-BASED DEEP LEARNING FOR AERODYNAMICS. High Performance Computing and Networking (HPCN) Workshop, 2025-06-24 - 2025-06-25, Göttingen, Deutschland.

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Item URL in elib:https://elib.dlr.de/217471/
Document Type:Conference or Workshop Item (Speech)
Title:GPU-BASED DEEP LEARNING FOR AERODYNAMICS
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Wassing, SimonUNSPECIFIEDhttps://orcid.org/0009-0008-4702-1358UNSPECIFIED
Hines Chaves, Derrick ArmandoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:24 June 2025
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Graphic Processing Unit, GPU, High Performance Computing, Aerodynamik, Deep Learning, Surrogate Modeling, Artificial Intelligence, Machine Learning
Event Title:High Performance Computing and Networking (HPCN) Workshop
Event Location:Göttingen, Deutschland
Event Type:Workshop
Event Start Date:24 June 2025
Event End Date:25 June 2025
HGF - Research field:other
HGF - Program:other
HGF - Program Themes:other
DLR - Research area:Quantum Computing Initiative
DLR - Program:QC AW - Applications
DLR - Research theme (Project):QC - ToQuaFlics
Location: Braunschweig
Institutes and Institutions:Institute for Aerodynamics and Flow Technology > CASE, BS
Deposited By: Wassing, Simon
Deposited On:25 Nov 2025 10:14
Last Modified:25 Nov 2025 10:14

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