Abstract
In this paper, we present scalability characteristics of a parallel flow solver on two large computing systems. The flow solver is based cell-centered finite volume discretizations along with explicit and implicit time integration methodologies. It has capability to solve moving body problems using Overset grid approach. Overset option is yet in sequential form. This solver is compared with another in-house flow solver for the parallel performance on two large-scale parallel computing platforms up to 2048 number of processors. Parallel timing performance of the solver was analyzed using the Vampir timing tool for DLR-F6 wing body configuration with 18 million elements. Timing of the Overset component was tested for a butterfly valve flow problem in a channel.
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Yilmaz, E., Payli, R.U., Akay, H.U., Ecer, A., Liu, J. (2010). Scalability Considerations of a Parallel Flow Solver on Large Computing Systems. In: Tromeur-Dervout, D., Brenner, G., Emerson, D., Erhel, J. (eds) Parallel Computational Fluid Dynamics 2008. Lecture Notes in Computational Science and Engineering, vol 74. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14438-7_34
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DOI: https://doi.org/10.1007/978-3-642-14438-7_34
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