2019
DOI: 10.1007/978-3-030-38043-4_15
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Multi GPU Implementation to Accelerate the CFD Simulation of a 3D Turbo-Machinery Benchmark Using the RapidCFD Library

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Cited by 2 publications
(2 citation statements)
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“…Due to the porting process, it features fewer linear solvers, turbulence models as well as boundary conditions than more recent versions of OF. Reasonable results with RANS models are shown by Nocente et al [7] and Molinero et al [8] for simulations of turbo-machinery and for a high speed flow by Kurashov [9]. These studies showed a remarkable increase in speed of up to nine times compared to CPU-based solvers, which makes GPU-ported solvers an attractive tool for solving computationally expensive CFD problems.…”
Section: Introductionmentioning
confidence: 99%
“…Due to the porting process, it features fewer linear solvers, turbulence models as well as boundary conditions than more recent versions of OF. Reasonable results with RANS models are shown by Nocente et al [7] and Molinero et al [8] for simulations of turbo-machinery and for a high speed flow by Kurashov [9]. These studies showed a remarkable increase in speed of up to nine times compared to CPU-based solvers, which makes GPU-ported solvers an attractive tool for solving computationally expensive CFD problems.…”
Section: Introductionmentioning
confidence: 99%
“…However, the capabilities and limitations of CFD codes applied to turbomachinery problem solving have not been widely explored and thoroughly documented, even though it is a complex task [8]. Exceptions in this field are relatively few [9][10][11][12].…”
Section: Introductionmentioning
confidence: 99%