Scalability Evaluation of the CFD Solver CODA on the AMD Naples Architecture
Michael Wagner ()
Additional contact information
Michael Wagner: German Aerospace Center (DLR), Institute of Software Methods for Product Virtualization
A chapter in Sustained Simulation Performance 2021, 2023, pp 95-106 from Springer
Abstract:
Abstract Computational fluid dynamics (CFD) simulations are an increasingly important part of aircraft design. They allow in-depth insight into the aerodynamic behavior of components and help reducing cost and time in development. CODA is a next-generation CFD solver for aerodynamic simulations of fully equipped aircraft. It is developed by the German Aerospace Center (DLR), the French Aerospace Lab (ONERA), and Airbus, and is one of the key applications represented in the European Centre of Excellence for Engineering Applications (Excellerat). This work evaluates the CODA CFD solver on the CARA HPC system based on the AMD Naples architecture. The evaluation includes an assessment of the scalability on the largest available partition of the production system with the NASA common research model in a strong scaling scenario, a comparison of different hybrid-parallel setups suitable for the specific memory and NUMA layout and a comparison of the results with the Intel Cascade Lake architecture. Furthermore, it demonstrates the impact of node placement and unfavorable network loads on large scale runs.
Date: 2023
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-18046-0_7
Ordering information: This item can be ordered from
http://www.springer.com/9783031180460
DOI: 10.1007/978-3-031-18046-0_7
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().