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Performance Comparison of Different OpenCL Implementations of LBM Simulation on Commodity Computer HardwareTEKIC, J. , TEKIC, P. , RACKOVIC, M.
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Lattice Boltzmann methods, multicore processing, scientific computing, parallel programming, parallel algorithms
boltzmann(25), lattice(24), method(13), flow(9), multi(8), flows(7), opencl(6), implementation(6), fluid(6), cavity(6)
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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
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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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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