EconPapers    
Economics at your fingertips  
 

Computational Aspects for DNS of Compressible Turbulent Boundary Layers on up to Full Machine Size

Tobias Gibis (), Jason Appelbaum () and Christoph Wenzel ()
Additional contact information
Tobias Gibis: Institute of Aerodynamics and Gas Dynamics
Jason Appelbaum: Institute of Aerodynamics and Gas Dynamics
Christoph Wenzel: Institute of Aerodynamics and Gas Dynamics

A chapter in High Performance Computing in Science and Engineering '23, 2026, pp 255-269 from Springer

Abstract: Abstract In this study, a representative benchmark case for the IAG in-house DNS code NS3D is presented, which has been developed specifically with the aim of evaluating code performance on Hawk and future machines on up to full machine size. The case is representative for simulations of compressible turbulent flat plate boundary layers, which are intended to provide both reference data and a better understanding of the physical processes within realistic boundary layers. Weak and strong scaling behaviour is shown up to 4096 nodes, demonstrating good scaling performance. Additionally, NS3D’s newly developed internal performance monitoring tools are presented and the statistics of the computational performance of several important routines are analysed. The performance monitoring gives indications of potential problems during the simulation runtime, such as nodes that are too slow, and can be configured to abort the simulation in case of unacceptable performance. Finally, for the weak scaling cases, the scaling performance of the recently implemented parallel HDF5 I/O is shown.

Date: 2026
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:978-3-031-91312-9_18

Ordering information: This item can be ordered from
http://www.springer.com/9783031913129

DOI: 10.1007/978-3-031-91312-9_18

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 ().

 
Page updated 2026-06-01
Handle: RePEc:spr:sprchp:978-3-031-91312-9_18