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

DK Kafui; S Johnson; Colin Thornton; JPK Seville

doi:10.1016/j.powtec.2010.11.008

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

DK Kafui, S Johnson, Colin Thornton, JPK Seville

Research output: Contribution to journal › Article

49 Citations (Scopus)

Abstract

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 1 million particles was fluidized in the bubbling regime using the parallelized code. (C) 2010 Elsevier B.V. All rights reserved.

Original language	English
Pages (from-to)	270-278
Number of pages	9
Journal	Powder Technology
Volume	207
Issue number	1-3
DOIs	https://doi.org/10.1016/j.powtec.2010.11.008
Publication status	Published - 1 Feb 2011

Keywords

Discrete element method
Parallelization
Fluidized beds

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10.1016/j.powtec.2010.11.008

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abstract = "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 1 million particles was fluidized in the bubbling regime using the parallelized code. (C) 2010 Elsevier B.V. All rights reserved.",

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AB - 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 1 million particles was fluidized in the bubbling regime using the parallelized code. (C) 2010 Elsevier B.V. All rights reserved.

KW - Discrete element method

KW - Parallelization

KW - Fluidized beds

U2 - 10.1016/j.powtec.2010.11.008

DO - 10.1016/j.powtec.2010.11.008

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ER -

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

Abstract

Keywords

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