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 center :
ULHPC - University of Luxembourg: High Performance Computing LuXDEM - University of Luxembourg: Luxembourg XDEM Research Centre
Disciplines :
Computer science
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
External co-authors :
no
Language :
English
Title :
Unified Design for Parallel Execution of Coupled Simulations using the Discrete Particle Method
Publication date :
2013
Event name :
Third International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering
Event place :
Pécs, Hungary
Event date :
March 2013
Audience :
International
Main work title :
Proceedings of the Third International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering
