Reference : On the performance of an overlapping-domain parallelization strategy for Eulerian-La...

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/32256

Title :	On the performance of an overlapping-domain parallelization strategy for Eulerian-Lagrangian Multiphysics software
Language :	English
Author, co-author :	Pozzetti, Gabriele [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
	Besseron, Xavier [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
	Rousset, Alban [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
	Mainassara Chekaraou, Abdoul Wahid [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
	Peters, Bernhard [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Publication date :	10-Jul-2018
Main document title :	AIP Conference Proceedings of 15th International Conference of Numerical Analysis and Applied Mathematics (ICNAAM)
Publisher :	American Institute of Physics
Peer reviewed :	Yes
Audience :	International
City :	New York
Country :	NY
Event name :	15th International Conference of Numerical Analysis and Applied Mathematics (ICNAAM 2017)
Event date :	from 25-09-2017 to 30-09-2017
Keywords :	[en] HPC ; CFD-DEM
Abstract :	[en] In this work, a strategy for the parallelization of a two-way CFD-DEM coupling is investigated. It consists on adopting balanced overlapping partitions for the CFD and the DEM domains, that aims to reduce the memory consumption and inter-process communication between CFD and DEM. Two benchmarks are proposed to assess the consistency and scalability of this approach, coupled execution on 252 cores shows that less than 1\% of time is used to perform inter-physics data exchange.
Research centres :	University of Luxembourg: High Performance Computing - ULHPC ; University of Luxembourg: Luxembourg XDEM Research Centre - LuXDEM
Name of the research project :	Luxdem.parallel_CFD-DEM
Target :	Researchers ; Students
Permalink :	http://hdl.handle.net/10993/32256
DOI :	10.1063/1.5043895
Other URL :	http://aip.scitation.org/doi/abs/10.1063/1.5043895

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