Verlagslink DOI: 10.1007/s00791-020-00332-3
Titel: Performance of parallel-in-time integration for Rayleigh Bénard convection
Sprache: Englisch
Autor/Autorin: Clarke, Andrew T. 
Davies, Christopher J. 
Ruprecht, Daniel  
Tobias, Steven M. 
Oishi, Jeffrey S. 
Schlagwörter: Parallel-in-time; Parareal; Rayleigh–Bénard
Erscheinungs­datum: 23-Sep-2020
Verlag: Springer
Quellenangabe: Computing and Visualization in Science 1-4 (23): 10 (2020)
Zusammenfassung (englisch): 
© 2020, The Author(s). Rayleigh–Bénard convection (RBC) is a fundamental problem of fluid dynamics, with many applications to geophysical, astrophysical, and industrial flows. Understanding RBC at parameter regimes of interest requires complex physical or numerical experiments. Numerical simulations require large amounts of computational resources; in order to more efficiently use the large numbers of processors now available in large high performance computing clusters, novel parallelisation strategies are required. To this end, we investigate the performance of the parallel-in-time algorithm Parareal when used in numerical simulations of RBC. We present the first parallel-in-time speedups for RBC simulations at finite Prandtl number. We also investigate the problem of convergence of Parareal with respect to statistical numerical quantities, such as the Nusselt number, and discuss the importance of reliable online stopping criteria in these cases.
URI: http://hdl.handle.net/11420/7761
DOI: 10.15480/882.3048
ISSN: 1433-0369
Zeitschrift: Computing and visualization in science 
Institut: Mathematik E-10 
Dokumenttyp: Artikel/Aufsatz
Weitere Förderungsinformationen: Engineering and Physical Sciences Research Council (EPSRC) Centre for Doctoral Training in Fluid Dynamics
Natural Environment Research Council (NERC) Independent Research Fellowship
NASA LWS
Lizenz: CC BY 4.0 (Attribution) CC BY 4.0 (Attribution)
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