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000866745 0247_ $$2ISSN$$a1611-3349
000866745 037__ $$aFZJ-2019-05814
000866745 1001_ $$0P:(DE-HGF)0$$aSchlottke-Lakemper, Michael$$b0
000866745 1112_ $$aJARA-HPC Symposium 2016$$cAachen$$gJHPCS'16$$wGermany
000866745 245__ $$aThe Direct-Hybrid Method for Computational Aeroacoustics on HPC Systems
000866745 260__ $$aCham$$bSpringer International Publishing$$c2017
000866745 29510 $$aHigh-Performance Scientific Computing / Di Napoli, Edoardo (Editor)   ; Cham : Springer International Publishing, 2017, Chapter 7 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-319-53861-7=978-3-319-53862-4 ; doi:10.1007/978-3-319-53862-4
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000866745 4900_ $$aLecture Notes in Computer Science$$v10164
000866745 520__ $$aClassic hybrid methods for computational aeroacoustics use different solvers and methods to predict the flow field and the acoustic pressure field in two separate steps, which involves data exchange via disk I/O between the solvers. This limits the efficiency of the approach, as parallel I/O usually does not scale well to large numbers of cores. In this work, a highly scalable direct-hybrid scheme is presented, in which both the flow and the acoustics simulations run simultaneously. That is, all data between the two solvers is transferred in-memory, avoiding the restrictions of the I/O subsystem. Results for the simulation of a pair of co-rotating vortices show that the method is able to correctly predict the acoustic pressure field and that it is suitable for highly parallel simulations.
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000866745 7001_ $$0P:(DE-HGF)0$$aYu, Hans$$b1
000866745 7001_ $$0P:(DE-HGF)0$$aBerger, Sven$$b2
000866745 7001_ $$0P:(DE-Juel1)165948$$aLintermann, Andreas$$b3
000866745 7001_ $$0P:(DE-HGF)0$$aMeinke, Matthias$$b4
000866745 7001_ $$0P:(DE-HGF)0$$aSchröder, Wolfgang$$b5
000866745 773__ $$a10.1007/978-3-319-53862-4_7
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