Parallelization of a Lagrangian–Eulerian DEM/CFD code for application to fluidized beds

The coupled Lagrangian–Eulerian DEM/CFD code developed over several years at Aston University and the University of Birmingham has been parallelized using a single program multiple data (SPMD) strategy. Initial implementation on a high-performance compute cluster indicated good scalability up to 32...

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Bibliographic Details
Published in:Powder technology 2011-02, Vol.207 (1-3), p.270-278
Main Authors: Kafui, D.K., Johnson, S., Thornton, C., Seville, J.P.K.
Format: Article
Language:English
Subjects:
algorithms
Applied sciences
Chemical engineering
Computation
Computational fluid dynamics
computer analysis
computer software
Discrete element method
Exact sciences and technology
Fluidization
Fluidized beds
Mathematical models
Miscellaneous
Parallel processing
Parallelization
powders
Processors
Solid-solid systems
Strategy
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Summary:The coupled Lagrangian–Eulerian DEM/CFD code developed over several years at Aston University and the University of Birmingham has been parallelized using a single program multiple data (SPMD) strategy. Initial implementation on a high-performance compute cluster indicated good scalability up to 32 processors, beyond which speedup gains are swamped by the all-processor communication overhead inherent in the fluid flow algorithm. A Geldart group A powder bed comprising 1million particles was fluidized in the bubbling regime using the parallelized code. The coupled Lagrangian–Eulerian DEM/CFD code has been parallelized using a single program multiple data (SPMD) strategy. Initial implementation on a high-performance compute cluster indicated good scalability up to 32 processors. A Geldart group A powder bed of 1million particles was fluidized in the bubbling regime using the parallelized code. [Display omitted] ► A coupled 3D Lagrangian-Eulerian DEM/CFD code has been parallelized. ► Iinitial implementation gave excellent scalability for up to 32 processors. ► Results are presented for a fluidized bed composed of one million particles.
ISSN:0032-5910
1873-328X
DOI:10.1016/j.powtec.2010.11.008