Contribution to a conference proceedings/Contribution to a book FZJ-2019-05814

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The Direct-Hybrid Method for Computational Aeroacoustics on HPC Systems

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2017
Springer International Publishing Cham
ISBN: 978-3-319-53861-7 (print), 978-3-319-53862-4 (electronic)

High-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
JARA-HPC Symposium 2016, JHPCS'16, AachenAachen, Germany,
Cham : Springer International Publishing, Lecture Notes in Computer Science 10164, 70 - 81 () [10.1007/978-3-319-53862-4_7]

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Abstract: Classic 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.


Research Program(s):
  1. 511 - Computational Science and Mathematical Methods (POF3-511) (POF3-511)
  2. Prediction of jet engine noise (jhpc23_20151101) (jhpc23_20151101)

Database coverage:
NationallizenzNationallizenz ; SCOPUS
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JARA > JARA > JARA-JARA\-HPC
External Publications > Vita Publications
Institute Collections > JSC

 Record created 2019-11-22, last modified 2022-06-13


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