|1/2012 - 9|
Implementation of the Lattice Boltzmann Method on Heterogeneous Hardware and Platforms using OpenCLTEKIC, P. M. , RADJENOVIC, J. B. , RACKOVIC, M.
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GPU, Java, lattice Boltzmann method, many-core, OpenC
lattice(17), boltzmann(15), performance(5), fluid(5), flow(5), simulation(4), parallel(4)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2012-02-28
Volume 12, Issue 1, Year 2012, On page(s): 51 - 56
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2012.01009
Web of Science Accession Number: 000301075000009
SCOPUS ID: 84860735612
The Lattice Boltzmann method (LBM) has become an alternative method for computational fluid dynamics with a wide range of applications. Besides its numerical stability and accuracy, one of the major advantages of LBM is its relatively easy parallelization and, hence, it is especially well fitted to many-core hardware as graphics processing units (GPU). The majority of work concerning LBM implementation on GPU's has used the CUDA programming model, supported exclusively by NVIDIA. Recently, the open standard for parallel programming of heterogeneous systems (OpenCL) has been introduced. OpenCL standard matures and is supported on processors from most vendors. In this paper, we make use of the OpenCL framework for the lattice Boltzmann method simulation, using hardware accelerators - AMD ATI Radeon GPU, AMD Dual-Core CPU and NVIDIA GeForce GPU's. Application has been developed using a combination of Java and OpenCL programming languages. Java bindings for OpenCL have been utilized. This approach offers the benefits of hardware and operating system independence, as well as speeding up of lattice Boltzmann algorithm. It has been showed that the developed lattice Boltzmann source code can be executed without modification on all of the used hardware accelerators. Performance results have been presented and compared for the hardware accelerators that have been utilized.
|References|||||Cited By «-- Click to see who has cited this paper|
| G. Khanna and J. McKennon, "Numerical modeling of gravitational wave sources accelerated by OpenCL," Computer Physics Communications, vol. 181 pp. 1605-1611, 2010. |
[CrossRef] [Web of Science Times Cited 15] [SCOPUS Times Cited 20]
 M. J. Harvey and G. D. Fabritiis, "Swan: A tool for porting CUDA programs to OpenCL," Computer Physics Communications.
 S. Succi, The Lattice Boltzman Equation for Fluid Dynamics and Beyond. Oxford: Oxford University Press, 2001.
 D. Yu, R. Mei, L.-S. Luo, and W. Shyy, "Viscous low computations with the method of lattice Boltzmann equation," Progress in Aerospace Sciences, vol. 39, pp. 329-367, 2003.
[CrossRef] [Web of Science Times Cited 484] [SCOPUS Times Cited 585]
 L.-S. Luo, "The lattice-gas and lattice Boltzmann methods: Past, present, and future," in Proc Int Conf Appl Comput Fluid Dyn, Beijing, 2000, pp. 52-83.
 M. C. Sukop and D. T. J. Thorne, Lattice Boltzmann Modeling: An Introduction for Geoscientists and Engineers. Berlin: Springer, 2007.
 S. Williams, J. Carter, L. Oliker, J. Shalf, and K. A. Yelick, "Lattice Boltzmann simulation optimization on leading multicore platforms," in IEEE International Symposium on Parallel and Distributed Processing, 2008, pp. 1-14.
[CrossRef] [SCOPUS Times Cited 47]
 T. Pohl, et al., "Performance Evaluation of Parallel Large-Scale Lattice Boltzmann Applications on Three Supercomputing Architectures," presented at the Proceedings of the 2004 ACM/IEEE conference on Supercomputing, 2004.
[CrossRef] [SCOPUS Times Cited 16]
 G. Wellein, T. Zeiser, G. Hager, and S. Donath, "On the single processor performance of simple lattice Boltzmann kernels," Computers & Fluids, vol. 35, pp. 910-919.
[CrossRef] [Web of Science Times Cited 114] [SCOPUS Times Cited 129]
 D. Vidal, R. Roy, and F. Bertrand, "A parallel workload balanced and memory efficient lattice-Boltzmann algorithm," Computers & Fluids, vol. 39, pp. 1411-1423, 2010.
[CrossRef] [Web of Science Times Cited 8] [SCOPUS Times Cited 8]
 M. Bernaschi, M. Fatica, S. Melchionna, S. Succi, and E. Kaxiras, "A flexible high-performance Lattice Boltzmann GPU code for the simulations of fluid flows in complex geometries," Concurr. Comput. : Pract. Exper., vol. 22, pp. 1-14, 2010.
[CrossRef] [Web of Science Times Cited 49] [SCOPUS Times Cited 62]
 K. R. Tubbs and F. T. C. Tsai, "GPU accelerated lattice Boltzmann model for shallow water flow and mass transport," International Journal for Numerical Methods in Engineering, vol. 86, pp. 316-334, 2011.
[CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 16]
 W. Li, X. Wei, and A. Kaufman, "Implementing Lattice Boltzmann Computation on Graphics Hardware," Visual Computer, vol. 19, pp. 444-456, 2003.
 J. Tolke and M. Krafczyk, "TeraFLOP computing on a desktop PC with GPUs for 3D CFD," International Journal of Computational Fluid Dynamics, vol. 22, pp. 443-456, 2008.
[CrossRef] [Web of Science Times Cited 145] [SCOPUS Times Cited 173]
 F. Kuznik, C. Obrecht, G. Rusaouen, and J.-J. Roux, "LBM based flow simulation using GPU computing processor," Computers & Mathematics with Applications, vol. 59, pp. 2380-2392, 2010.
[CrossRef] [Web of Science Times Cited 77] [SCOPUS Times Cited 88]
 J. Habich, T. Zeiser, G. Hager, and G. Wellein, "Performance analysis and optimization strategies for a D3Q19 lattice Boltzmann kernel on nVIDIA GPUs using CUDA," Advances in Engineering Software, vol. 42, pp. 266-272, 2011.
[CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 16]
 C. Obrecht, F. Kuznik, B. Tourancheau, and J.-J. Roux, "A new approach to the lattice Boltzmann method for graphics processing units," Computers & Mathematics with Applications, vol. In Press, Corrected Proof.
 W. Xian and A. Takayuki, "Multi-GPU performance of incompressible flow computation by lattice Boltzmann method on GPU cluster," Parallel Computing, vol. In Press, Corrected Proof.
 JOCL Library, [Online] Available: Temporary on-line reference link removed - see the PDF document
 P. M. Tekic, J. B. Radenovic, N. L. Lukic, and S. S. Popovic, "Lattice Boltzmann simulation of two-sided lid-driven flow in a staggered cavity," International Journal of Computational Fluid Dynamics, vol. 24, pp. 383-390, 2010.
[CrossRef] [Web of Science Times Cited 3] [SCOPUS Times Cited 8]
 D. V. Patil, K. N. Lakshmisha, and B. Rogg, "Lattice Boltzmann simulation of lid-driven flow in deep cavities," Computers & Fluids, vol. 35, pp. 1116-1125, 2006.
[CrossRef] [Web of Science Times Cited 40] [SCOPUS Times Cited 49]
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