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The CFD Solver CODA and the Sparse Linear Systems Solver Spliss: Evaluation of Performance and Scalability

Wagner, Michael (2021) The CFD Solver CODA and the Sparse Linear Systems Solver Spliss: Evaluation of Performance and Scalability. NHR CFD Workshop Day 2021, 29. Jul 2021, Germany.

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Abstract

This presentation will share our efforts and experiences in evaluating performance and scalability of CODA and Spliss on current HPC architectures. CODA is a CFD solver for aircraft aerodynamics developed by DLR, ONERA, and Airbus, and one of the key next-generation engineering applications represented in the European Centre of Excellence for Engineering Applications (EXCELLERAT). The Sparse Linear System Solver (Spliss) provides a linear solver library that, on the one hand, is tailored to requirements of CFD applications but, on the other hand, independent of the particular CFD solver.

Item URL in elib:https://elib.dlr.de/143414/
Document Type:Conference or Workshop Item (Speech)
Title:The CFD Solver CODA and the Sparse Linear Systems Solver Spliss: Evaluation of Performance and Scalability
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Wagner, MichaelM.Wagner (at) dlr.dehttps://orcid.org/0000-0002-5767-1716
Date:29 July 2021
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:CFD, linear solver, sparse linear solver, Spliss, CODA, HPC, scalability
Event Title:NHR CFD Workshop Day 2021
Event Location:Germany
Event Type:Workshop
Event Dates:29. Jul 2021
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:10 Aug 2021 19:47
Last Modified:10 Aug 2021 19:47

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