Reference : Unified Design for Parallel Execution of Coupled Simulations using the Discrete Parti... |
Scientific congresses, symposiums and conference proceedings : Paper published in a book | |||
Engineering, computing & technology : Computer science | |||
Computational Sciences | |||
http://hdl.handle.net/10993/1427 | |||
Unified Design for Parallel Execution of Coupled Simulations using the Discrete Particle Method | |
English | |
Besseron, Xavier ![]() | |
Hoffmann, Florian ![]() | |
Michael, Mark ![]() | |
Peters, Bernhard ![]() | |
2013 | |
Proceedings of the Third International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering | |
Civil-Comp Press | |
Yes | |
International | |
Stirlingshire | |
United Kingdom | |
Third International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering | |
March 2013 | |
Pécs | |
Hungary | |
[en] Granular matter ; Discrete element method ; Domain decomposition ; Parallel computing ; Load-balancing | |
[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. | |
University of Luxembourg: High Performance Computing - ULHPC ; University of Luxembourg: Luxembourg XDEM Research Centre - LuXDEM | |
Luxdem.DPMHPC | |
http://hdl.handle.net/10993/1427 | |
10.4203/ccp.101.49 |
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