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Print ISSN: 1582-7445
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doi: 10.4316/AECE


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Performance Comparison of Different OpenCL Implementations of LBM Simulation on Commodity Computer Hardware

TEKIC, J. See more information about TEKIC, J. on SCOPUS See more information about TEKIC, J. on IEEExplore See more information about TEKIC, J. on Web of Science, TEKIC, P. See more information about  TEKIC, P. on SCOPUS See more information about  TEKIC, P. on SCOPUS See more information about TEKIC, P. on Web of Science, RACKOVIC, M. See more information about RACKOVIC, M. on SCOPUS See more information about RACKOVIC, M. on SCOPUS See more information about RACKOVIC, M. on Web of Science
 
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Download PDF pdficon (1,653 KB) | Citation | Downloads: 290 | Views: 190

Author keywords
Lattice Boltzmann methods, multicore processing, scientific computing, parallel programming, parallel algorithms

References keywords
boltzmann(25), lattice(24), method(13), flow(9), multi(8), flows(7), opencl(6), implementation(6), fluid(6), cavity(6)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2022-02-28
Volume 22, Issue 1, Year 2022, On page(s): 69 - 76
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2022.01008
Web of Science Accession Number: 000762769600007
SCOPUS ID: 85126816356

Abstract
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Parallel programming is increasingly used to improve the performance of solving numerical methods used for scientific purposes. Numerical methods in the field of fluid dynamics require the calculation of a large number of operations per second. One of the methods that is easily parallelized and often used is the Lattice Boltzmann method (LBM). Today, it is possible to perform simulations of numerical methods not only on high performance computers (HPC) but also on commodity computers. In this paper is presented how to accelerate LBM implementation on commodity computers using characteristics of OpenCL specification. Simulation is executed simultaneously on multiple heterogeneous devices. Four different approaches for several commodity computer configurations are presented. Obtained results are compared for different types of commodity computers and advantages and disadvantages are discussed. In this paper it presented which LBM OpenCL code implementation, among four different presented, shows best simulation performance and should be used when solving similar CFD problems.


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References Weight

Web of Science® Citations for all references: 6,535 TCR
SCOPUS® Citations for all references: 14,876 TCR

Web of Science® Average Citations per reference: 198 ACR
SCOPUS® Average Citations per reference: 451 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2022-06-30 01:39 in 194 seconds.




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