| 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 |
ConferencePaper |
de_DE |
| utue.publikation.fachbereich |
Informatik |
de_DE |
| utue.publikation.fakultaet |
7 Mathematisch-Naturwissenschaftliche Fakultät |
de_DE |
| utue.opus.portal |
bwhpc5 |
de_DE |
