On improving the performance of large parallel lattice Boltzmann flow simulations in heterogeneous porous media

Computers and Fluids

Volumn 39, Issue 2, 2010, Pages 324-337

  Vidal, David ^a,b   Roy, Robert ^a   Bertrand, François ^a  

^a ÉCOLE POLYTECHNIQUE DE MONTRÉAL   (Canada)

^b PAPRICAN   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

3-DIMENSIONAL; CARTESIANS; COMPUTATIONAL PERFORMANCE; DOMAIN DECOMPOSITIONS; FLUID FLOW; FLUID FLOW SIMULATION; HETEROGENEOUS POROUS MEDIA; LATTICE BOLTZMANN FLOW; LATTICE BOLTZMANN SIMULATIONS; LATTICE-BOLTZMANN METHOD; MEMORY USAGE; PARALLEL PERFORMANCE; POLYDISPERSE SPHERES; SLICE DECOMPOSITION; SPARSE MATRICES; VECTOR DATA; WORKLOAD BALANCE;

DATA STRUCTURES; DATA TRANSFER; DECOMPOSITION; DOMAIN DECOMPOSITION METHODS; DROP FORMATION; FLOW SIMULATION; POLYDISPERSITY; POROUS MATERIALS; SIMULATORS;

SPHERES;

EID: 70350719194     PISSN: 00457930     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compfluid.2009.09.011     Document Type: Article

References (25)

1. Succi S. The lattice Boltzmann equation for fluid dynamics and beyond (2001), Oxford Science Publications, Oxford, UK
2. Nourgaliev R.R., Dinh T.N., Theofanous T.G., and Joseph D. The lattice Boltzmann equation method: theoretical interpretation, numerics and implications. Int J Multiphase Flow 29 1 (2003) 117-169
3. Dupuis A., and Chopard B. An object oriented approach to lattice gas modeling. Future Gener Comput Syst 16 5 (2000) 523-532
4. Schulz M., Krafczyk M., Tolke J., and Rank E. Parallelization strategies and efficiency of CFD computations in complex geometries using lattice Boltzmann methods on high performance computers. In: Breuer M., Durst F., and Zenger C. (Eds). High performance scientific and engineering computing (2002), Springer Verlag, Berlin 115-122
5. Pan C., Prins J.F., and Miller C.T. A high-performance lattice Boltzmann implementation to model flow in porous media. Comput Phys Commun 158 (2004) 89-105
6. Martys N.S., and Hagedorn J.G. Multiscale modeling of fluid transport in heterogeneous materials using discrete Boltzmann methods. Mater Struct 35 (2002) 650-659
7. Argentini R., Bakker A.F., and Lowe C.P. Efficiently using memory in lattice Boltzmann simulations. Future Gener Comput Syst 20 6 (2004) 973-980
8. Pan C., Luo L.S., and Miller C.T. An evaluation of lattice Boltzmann schemes for porous medium flow simulation. Comput Fluids 35 (2006) 898-909
9. Mattila K., Hyväluoma J., Timonen J., and Rossi T. Comparison of implementations of the lattice-Boltzmann method. Comput Math Appl 55 7 (2008) 1514-1524
10. Mattila K., Hyväluoma J., Rossi T., Aspnäs M., and Westerholm J. An efficient swap algorithm for the lattice Boltzmann method. Comput Phys Commun 176 (2007) 200-210
11. Pohl T., Kowarschik M., Wilke J., Iglberger K., and Rüde U. Optimization and profiling of the cache performance of parallel lattice Boltzmann codes. Parallel Process Lett 13 4 (2003) 549-560
12. Wellein G., Zeiser T., Hager G., and Donath S. On the single processor performance of simple lattice Boltzmann kernels. Comput Fluids 35 (2006) 910-919
13. Satofuka N., and Nishioka T. Parallelization of lattice Boltzmann method for incompressible flow computations. Comput Mech 23 (1999) 164-171
14. Kandhai D., Koponen A., Hoekstra A.G., Kataja M., Timonen J., and Sloot P.M.A. Lattice-Boltzmann hydrodynamics on parallel systems. Comput Phys Commun 111 (1998) 14-26
15. Axner L., Bernsdorf J., Zeiser T., Lammers P., Linxweiler J., and Hoekstra A.G. Performance evaluation of a parallel sparse lattice Boltzmann solver. J Comput Phys 227 (2008) 4895-4911
16. Freudiger S., Hegewald J., and Krafczyk M. A parallelization concept for a multi-physics lattice Boltzmann prototype based on hierarchical grids. Prog Comput Fluid Dyn Int J 8 1-4 (2008) 168-178
17. Wang J., Zhang X., Bengough A.G., and Crawford J.W. Domain-decomposition method for parallel lattice Boltzmann simulation of incompressible flow in porous media. Phys Rev E 72 (2005) 016706-016711
18. Bhatnagar P.L., Gross E.P., and Krook M. A model for collision processes in gases. I. Small amplitude processes in charged and neutral one-component systems. Phys Rev 94 (1954) 511-525
19. Vidal D. Développement d'algorithmes parallèles pour la simulation d'écoulements de fluides dans les milieux poreux. PhD Thesis, Ecole Polytechnique de Montréal; 2009.
20. mpptest version 1.4b. Available from: http://www-unix.mcs.anl.gov/mpi/mpptest/; Oct 2008.
21. mpiP version 3.1.2. http://mpip.sourceforge.net/; Nov 2008.
22. Auzerais F.M., Dunsmuir J., Ferréol B.B., Martys N., Olson J., Ramakrishnan T.S., et al. Transport in sandstone: a study based on three dimensional microtomography. Geophys Res Lett 23 7 (1996) 705-708
23. Hayes R.E., Bertrand F., and Tanguy P.A. Modelling of fluid/paper interaction in the application nip of a film coater. Transport Porous Media 40 (2000) 55-72
24. Vidal D., Ridgway C., Pianet G., Schoelkopf J., Roy R., and Bertrand F. Effect of particle size distribution and packing compression on fluid permeability as predicted by lattice-Boltzmann simulations. Comput Chem Eng 33 (2009) 256-266
25. Pianet G, Bertrand F, Vidal D, Mallet B. Modeling the compression of particle packings using the discrete element method. In: Proceedings of the 2008 TAPPI advanced coating fundamentals symposium, Atlanta, GA, USA: TAPPI Press; 2008.