HPC with Python: An MPI-parallel implementation of the Lattice Boltzmann Method

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dc.contributor.author Pastewka, Lars
dc.contributor.author Greiner, Andreas
dc.date.accessioned 2019-04-09T13:34:21Z
dc.date.available 2019-04-09T13:34:21Z
dc.date.issued 2019-04
dc.identifier.other 1668940574
dc.identifier.uri http://hdl.handle.net/10900/87663
dc.identifier.uri http://nbn-resolving.de/urn:nbn:de:bsz:21-dspace-876633 de_DE
dc.identifier.uri http://dx.doi.org/10.15496/publikation-29049
dc.description.abstract The Lattice Boltzmann Method is well suited for high performance computational fluid dynamics. We show by means of a common two-dimensional test case, the lid-driven cavity problem, that excellent parallel scaling can be achieved in an implementation based on pure Python, using the numpy library and the Message Passing Interface. We highlight opportunities and pitfalls for the implementation of parallel high-performance codes in the high-level language Python. en
dc.language.iso en de_DE
dc.publisher Universität Tübingen de_DE
dc.publisher Universität Tübingen de_DE
dc.subject.classification Hochleistungsrechnen de_DE
dc.subject.ddc 004 de_DE
dc.subject.other Lattice Boltzmann en
dc.subject.other MPI en
dc.subject.other Python en
dc.title HPC with Python: An MPI-parallel implementation of the Lattice Boltzmann Method en
dc.type InProceedings (Aufsatz / Paper einer Konferenz etc.) de_DE
utue.publikation.fachbereich Informatik de_DE
utue.publikation.fakultaet 7 Mathematisch-Naturwissenschaftliche Fakultät de_DE
utue.opus.portal bwhpc5 de_DE

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