AIAA AVIATION 2022 Forum 2022
DOI: 10.2514/6.2022-3434
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A Wall-Modeled LES Perspective for the High Lift Common Research Model Using LAVA

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Cited by 13 publications
(2 citation statements)
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“…To conclude this analysis, let us compare the present results with the performance reported in the literature for advanced 3D CFD solvers. Interestingly, these solvers typically take about 1 to 5 ms of CPU-core time to update one cell, [120][121][122] which corresponds to a performance of 0.2 to 1 MLUPS. By moving to GPUs, these solvers usually benefit from a speedup of 5 to 20 between a single cluster-class GPU card and a full CPU node.…”
Section: Performance Analysismentioning
confidence: 99%
“…To conclude this analysis, let us compare the present results with the performance reported in the literature for advanced 3D CFD solvers. Interestingly, these solvers typically take about 1 to 5 ms of CPU-core time to update one cell, [120][121][122] which corresponds to a performance of 0.2 to 1 MLUPS. By moving to GPUs, these solvers usually benefit from a speedup of 5 to 20 between a single cluster-class GPU card and a full CPU node.…”
Section: Performance Analysismentioning
confidence: 99%
“…Firstly, with regard to the issue of meshing, although the use of unstructured meshes is becoming increasingly attractive owing to automated pre-processing tools, it has been shown that computation-wise, codes relying on structured meshes still enjoy unrivalled performances [2]. However, the generation of structured meshes remains very cumbersome and can take many months even for an expert on a configuration as complex as the HL-CRM [3]. As a means to reduce the mesh generation effort, overset grid methods [4][5][6][7] (also referred to as "Chimera" methods [8]) have been used for many years in the CFD community, in particular for structured grids.…”
Section: Introductionmentioning
confidence: 99%