Reference : Unified Design for Parallel Execution of Coupled Simulations using the Discrete Parti...

	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/10993/1427

Title :	Unified Design for Parallel Execution of Coupled Simulations using the Discrete Particle Method
Language :	English
Author, co-author :	Besseron, Xavier [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
	Hoffmann, Florian [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
	Michael, Mark [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 :	2013
Main document title :	Proceedings of the Third International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering
Publisher :	Civil-Comp Press
Peer reviewed :	Yes
Audience :	International
City :	Stirlingshire
Country :	United Kingdom
Event name :	Third International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering
Event date :	March 2013
Event place (city) :	Pécs
Event country :	Hungary
Keywords :	[en] Granular matter ; Discrete element method ; Domain decomposition ; Parallel computing ; Load-balancing
Abstract :	[en] This paper presents the enhanced design of the Discrete Particle Method (DPM), a simulation tool which provides high quality and fast simulations to solve a broad range industrial processes involving granular materials. It enables to resolve mechanical and thermodynamics problems through different simulation modules (motions, chemical conversion). This new design allows to transparently couple the simulation modules in parallel execution. It relies on a unified interface and timebase of the simulation modules and a flexible decomposition in cells of the simulation space. Experimental results study the behavior of the Orthogonal Recursive Bisection (ORB) partitioning algorithm. A good scalability is achieved as the parallel execution on a distributed platform provides a 17-times speedup using 64 processes.
Research centres :	University of Luxembourg: High Performance Computing - ULHPC ; University of Luxembourg: Luxembourg XDEM Research Centre - LuXDEM
Name of the research project :	Luxdem.DPMHPC
Permalink :	http://hdl.handle.net/10993/1427
DOI :	10.4203/ccp.101.49

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