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Computational Science, Engineering & Technology Series
ISSN 1759-3158 CSETS: 40
ADVANCES IN PARALLEL, DISTRIBUTED, GRID AND CLOUD COMPUTING FOR ENGINEERING Edited by: P. Iványi, B.H.V. Topping and G. Várady
Chapter 6
Simulation and Visualization of Discrete Particles on Clusters, Grids and Clouds A. Kačeniauskas1 and R. Pacevič2
1Laboratory of Parallel Computing, Vilnius Gediminas Technical University, Vilnius,
Lithuania A. Kaceniauskas , R. Pacevic, "Simulation and Visualization of
Discrete Particles on Clusters, Grids
and Clouds", in P. Iványi, B.H.V. Topping and G. Várady, (Editors), "Advances in
Parallel, Distributed, Grid
and
Cloud Computing
for
Engineering", Saxe-Coburg Publications, Stirlingshire, UK, Chapter 6, pp 109-136, 2017. doi:10.4203/csets.40.6
Keywords: discrete particles, discrete element method, domain decomposition, visualization
of cracks, cloud computing, Docker containers..
Abstract
This paper presents the development of parallel algorithms and visualization techniques
for particle systems simulated by the discrete element method on clusters,
grids and clouds. The dynamic domain decomposition strategies based on the moving
planes, the multilevel k-way graph-partitioning and the recursive coordinate bisection
were applied to the simulation of hopper discharge. The parallel speedup of discrete
element computations measured on Docker containers of the OpenStack cloud was
compared with that obtained by using the native hardware. The cell cut-, Voronoiand
cell centre-based techniques were developed for extraction and visualization of
crack surfaces propagating in monodispersed particulate media, which was simulated
by the discrete element method. The quantitative comparison of three visualization
techniques based on local space decompositions was performed. The trials from the
case study showed that the developed parallel algorithms and visualization techniques
were able to satisfy needs of researchers simulating large discrete particle systems.
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