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EXCELLERAT Success Story: Transparent Integration of Emerging HPC Technologies into the Computational Fluid Dynamics Software CODA

Wagner, Michael (2022) EXCELLERAT Success Story: Transparent Integration of Emerging HPC Technologies into the Computational Fluid Dynamics Software CODA. [Other]

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Official URL: https://www.excellerat.eu/success-story-transparent-integration-of-emerging-hpc-technologies-into-the-computational-fluid-dynamics-software-coda/

Abstract

Providing high-fidelity aerodynamics simulations requires vast computational resources. Leading-edge HPC systems are increasingly complex: consisting of millions of heterogeneous processing elements including GPUs. To harness their full potential, CFD software such as CODA require not only the efficient utilization of the CPU but must also support emerging technologies such as GPUs. Within EXCELLERAT, the capabilities of Spliss (the Sparse Linear Systems Solver) have been extended and optimized for GPUs. Spliss allows CODA the efficient and transparent usage of GPUs for linear systems solving while at the same time hiding the inherent complexity.

Item URL in elib:https://elib.dlr.de/186459/
Document Type:Other
Title:EXCELLERAT Success Story: Transparent Integration of Emerging HPC Technologies into the Computational Fluid Dynamics Software CODA
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Wagner, MichaelUNSPECIFIEDhttps://orcid.org/0000-0002-5767-1716UNSPECIFIED
Date:March 2022
Journal or Publication Title:EXCELLERAT Success Stories
Refereed publication:No
Open Access:Yes
Status:Published
Keywords:Computational Fluid Dynamics, Aerospace, High Performance Computing, GPU, Linear Equation Systems, Aircraft Aerodynamics
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Efficient Vehicle
DLR - Research area:Aeronautics
DLR - Program:L EV - Efficient Vehicle
DLR - Research theme (Project):L - Virtual Aircraft and  Validation
Location: Dresden
Institutes and Institutions:Institute of Software Methods for Product Virtualization > High Perfomance Computing
Deposited By: Wagner, Dr. Michael
Deposited On:23 May 2022 13:31
Last Modified:23 May 2022 13:31

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