EconPapers    
Economics at your fingertips  
 

Dynamic Load Balancing for Coupled Simulation Methods

Matthias Meinke (), Ansgar Niemöller, Sohel Herff and Wolfgang Schröder
Additional contact information
Matthias Meinke: RWTH Aachen University, Institute of Aerodynamics
Ansgar Niemöller: RWTH Aachen University, Institute of Aerodynamics
Sohel Herff: RWTH Aachen University, Institute of Aerodynamics
Wolfgang Schröder: RWTH Aachen University, Institute of Aerodynamics

A chapter in Sustained Simulation Performance 2019 and 2020, 2021, pp 61-84 from Springer

Abstract: Abstract A dynamic load balancing technique for simulation methods based on hierarchical Cartesian meshes is presented for two applications in this paper. The first method is a hybrid CFD/CAA solver for the prediction of aeroacoustic noise. In this application, a finite-volume method for the large eddy simulation of the turbulent flow field is coupled to a discontinuous Galerkin method for the solution of the acoustic perturbation equations to predict the generation and propagation of the sound field. The second simulation method predicts a combustion process of a premixed fuel. The turbulent flow field is predicted again by large eddy simulation using the finite-volume method, which is coupled to a level-set solver used for the prediction of the flame surface. In both applications, a joint Cartesian mesh is used for the involved solvers, which allows to efficiently redistribute the computational load using a space filling curve. The results show that the dynamic load balancing can enhance the parallel efficiency even for static meshes. The simulation of the combustion process with a solution adaptvie mesh technique demonstrates the necessity of a dynamic load balancing technique.

Keywords: Dynamic load balancing; Aeroacoustics; Premixed combustion; Level Set; Cartesian meshes (search for similar items in EconPapers)
Date: 2021
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:978-3-030-68049-7_5

Ordering information: This item can be ordered from
http://www.springer.com/9783030680497

DOI: 10.1007/978-3-030-68049-7_5

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 2026-03-01
Handle: RePEc:spr:sprchp:978-3-030-68049-7_5