2021
DOI: 10.1016/j.cpc.2021.108073
|View full text |Cite
|
Sign up to set email alerts
|

DLBFoam: An open-source dynamic load balancing model for fast reacting flow simulations in OpenFOAM

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
42
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
6

Relationship

2
4

Authors

Journals

citations
Cited by 49 publications
(42 citation statements)
references
References 24 publications
0
42
0
Order By: Relevance
“…To overcome the computational load imbalance among processors, an open-source dynamic load balancing model (DLBFoam), developed recently by Tekgül et al (2021), is utilized to distribute the computation of chemistry problems equally among all processors using the MPI communication protocol. The DLBFoam model may be the first open-source implementation of chemistry dynamic load balancing reported in the literature enabling such computationally expensive simulations.…”
Section: Reactive Flow Solvermentioning
confidence: 99%
See 2 more Smart Citations
“…To overcome the computational load imbalance among processors, an open-source dynamic load balancing model (DLBFoam), developed recently by Tekgül et al (2021), is utilized to distribute the computation of chemistry problems equally among all processors using the MPI communication protocol. The DLBFoam model may be the first open-source implementation of chemistry dynamic load balancing reported in the literature enabling such computationally expensive simulations.…”
Section: Reactive Flow Solvermentioning
confidence: 99%
“…2. The interested reader is referred to Zirwes et al (2020) for detailed information on the cubic discretization scheme implemented in OpenFOAM, and Tekgül et al (2021) and Morev et al (2022) for comprehensive explanation about the customized solver employed here.…”
Section: Reactive Flow Solvermentioning
confidence: 99%
See 1 more Smart Citation
“…3 Nevertheless, high-fidelity reactive flow simulations can be still feasible through efficient usage of the provided computational resources, in addition to cell-based optimization of the chemistry solution. 4 In general, considerable efforts have been made in the literature to improve the computational performance of CFD simulations involving turbulence, [5][6][7][8][9] shock waves, 10 gas rarefaction, 11 geometrical parameterization, 12 or chemical reactions [13][14][15][16] through model reduction, machine learning, or efficient parallelization.…”
Section: Introductionmentioning
confidence: 99%
“…We have recently also introduced an open-source dynamic load balancing model called DLBFoam for OpenFOAM, providing speed-up up to a factor of 10. 4 In this work, we introduce a novel chemistry model that provides speed-up in reactive flow simulations in OpenFOAM by targeting the two major issues in reactive CFD simulations addressed above. We further extend our dynamic load balancing model DLBFoam, and focus on optimizing the cell-wise chemistry solution by introducing two new features.…”
Section: Introductionmentioning
confidence: 99%