A simulation suite for Lattice-Boltzmann based real-time CFD applications exploiting multi-level parallelism on modern multi- and many-core architectures

Journal of Computational Science

Volumn 2, Issue 2, 2011, Pages 113-123

  Geveler, Markus ^a   Ribbrock, Dirk ^a   Mallach, Sven ^b   Göddeke, Dominik ^a  

^a TU DORTMUND UNIVERSITY   (Germany)

^b UNIVERSITY OF COLOGNE   (Germany)

Author keywords

HPC software development multi and many core architectures; Lattice Boltzmann methods fluid structure interaction; Real time simulationm

Indexed keywords

CFD APPLICATIONS; CPU CORES; DISTRIBUTED MEMORY; INTERACTIVE VIRTUAL ENVIRONMENTS; LATTICE BOLTZMANN; LATTICE-BOLTZMANN METHOD; MANY-CORE ARCHITECTURE; MODULAR BUILDINGS; MULTI CORE; MULTI-LEVEL PARALLELISM; MULTITHREADED; OPEN-SOURCE LIBRARIES; OPTIMISATIONS; PORTABLE CODE; REAL TIME SIMULATIONS; REAL-TIME SIMULATIONM; SHALLOW WATER EQUATIONS; SHARED MEMORIES; SMALL CLUSTERS; SOFTWARE APPROACH; THREAD LEVEL PARALLELISM; VECTORISATION;

COMPUTATIONAL FLUID DYNAMICS; COMPUTER HARDWARE; EQUATIONS OF MOTION; FLUID STRUCTURE INTERACTION; KINETIC THEORY; MECHANICAL PERMEABILITY; MODULAR CONSTRUCTION; PROGRAM PROCESSORS; SOFTWARE DESIGN; USER INTERFACES; VIRTUAL REALITY;

COMPUTER ARCHITECTURE;

EID: 79958766126     PISSN: 18777503     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jocs.2011.01.008     Document Type: Article

References (30)

1. K. Asanovic, R. Bodik, B.C. Catanzaro, J.J. Gebis, P. Husbands, K. Keutzer, D.A. Patterson, W.L. Plishker, J. Shalf, S.W. Williams, K.A. Yelick, The landscape of parallel computing research: A view from Berkeley, Tech. Rep. UCB/EECS-2006-183, EECS Department, University of California, Berkeley, 2006.
2. van Dyk D., Geveler M., Mallach S., Ribbrock D., Göddeke D., Gutwenger C. HONEI: a collection of libraries for numerical computations targeting multiple processor architectures. Computer Physics Communications 2009, 180(12):2534-2543. 10.1016/j.cpc.2009.04.018.
3. Geveler M., Ribbrock D., Göddeke D., Turek S. Lattice-Boltzmann simulation of the shallow-water equations with fluid-structure interaction on multi- and manycore processors. Facing the Multicore Challenge, Vol. 6310 of Lecture Notes in Computer Science 2010, 92-104. Springer. R. Keller, D. Kramer, J.-P. Weiß (Eds.).
4. Mallach S., Gutwenger C. Improved scalability by using hardware-aware thread affinities. Facing the Multicore Challenge, Vol. 6310 of Lecture Notes in Computer Science 2010, 29-41. Springer. R. Keller, D. Kramer, J.-P. Weiß (Eds.).
5. Ribbrock D., Geveler M., Göddeke D., Turek S. Performance and accuracy of Lattice-Boltzmann kernels on multi- and manycore architectures. International Conference on Computational Science (ICCS'10), Vol. 1 of Procedia Computer Science 2010, 239-247. 10.1016/j.procs.2010.04.027. P.M. Sloot, G. van Albada, J.J. Dongarra (Eds.).
6. Keyes D.E. Terascale implicit methods for partial differential equations. Recent Advances in Numerical Methods for Partial Differential Equations and Applications, Vol. 306 of Contemporary Mathematics 2002, 29-84. American Mathematical Society. X. Feng, T.P. Schulze (Eds.).
7. P. Colella, T.H. Dunning Jr., W.D. Gropp, D.E. Keyes, A science-based case for large-scale simulation, Tech. rep., Office of Science, US Department of Energy. , 2003. http://www.pnl.gov/scales.
8. Turek S., Göddeke D., Becker C., Buijssen S., Wobker H. FEAST - realisation of hardware-oriented numerics for HPC simulations with finite elements. Concurrency and Computation: Practice and Experience 2010, 6:2247-2265. Special Issue Proceedings of ISC 2008. 10.1002/cpe.1584.
9. Brodtkorb A.R., Dyken C., Hagen T.R., Hjelmervik J.M., Storaasli O.O. State-of-the-art in heterogeneous computing. Scientific Programming 2010, 18(1):1-33. 10.3233/SPR-2009-0296.
10. Brodtkorb A.R. An asynchronous API for numerical linear algebra. Scalable Computing: Practice and Experience 2008, 9(3):153-163.
11. Feichtinger C., Götz J., Donath S., Iglberger K., Rüde U., WaLBerla: Exploiting massively parallel systems for lattice Boltzmann simulations and manycore processors. Parallel Computing - Numerics, Applications, and Trends 2009, 241-260. 10.1007/978-1-84882-409-6_8. R. Trobec, M. Vajteršic, P. Zinterhof (Eds.).
12. Kühner S., Krafczyk M. Virtual fluids - an environment for integral visualisation and analysis of cad and simulation data. Proceedings of Vision, Modeling and Visualization 2000, 311-318. B. Girod, G. Greiner, H. Niemann, H.-P. Seidel (Eds.).
13. Donath S., Iglberger K., Wellein G., Zeiser T., Nitsure A., Rüde U. Performance comparison of different parallel lattice boltzmann implementations on multi-core multi-socket systems. International Journal of Computational Science and Engineering 2008, 4(1):3-11. 10.1504/IJCSE.2008.021107.
14. Tölke J., Krafczyk M. TeraFLOP computing on a desktop PC with GPUs for 3D CFD. International Journal of Computational Fluid Dynamics 2008, 22(7):443-456. 10.1080/10618560802238275.
15. Thürey N., Iglberger K., Rüde U. Free surface flows with moving and deforming objects for LBM. Proceedings of Vision, Modeling and Visualization 2006 2006, 193-200. L. Kobbelt, T. Kuhlen, T. Aach, R. Westermann (Eds.).
16. Tölke J., Ahrenholz B., Hegewald J., Krafczyk M. Parallel free-surface and multi-phase simulations in complex geometries using lattice Boltzmann methods. Third Joint HLRB and KONWIHR Result and Reviewing Workshop 2007.
17. Fan Z., Qiu F., Kaufman A., Yoakum-Stover S. GPU cluster for high performance computing. SC'04: Proceedings of the 2004 ACM/IEEE Conference on Supercomputing 2004, 47. 10.1109/SC.2004.26.
18. Chorley M.J., Walker D.W. Performance analysis of a hybrid MPI/OpenMP application on multi-core clusters. Journal of Computational Science 2010, 1(3):168-174. 10.1016/j.jocs.2010.05.001.
19. Williams S., Carter J., Oliker L., Shalf J., Yelick K.A. Lattice Boltzmann simulation optimization on leading multicore platforms. IEEE International Symposium on Parallel and Distributed Processing, IEEE 2008, 1-14. 10.1109/IPDPS.2008.4536295.
20. Pohl T., Thürey N., Deserno F., Rüde U., Lammers P., Wellein G., Zeiser T. Performance evaluation of parallel large-scale lattice Boltzmann applications on three supercomputing architectures. SC'04: Proceedings of the 2004 ACM/IEEE Conference on Supercomputing, Article No. 21 2004, 10.1109/SC.2004.37.
21. Higuera F.J., Jiménez J. Boltzmann approach to lattice gas simulations. Europhysics Letters 1989, 9(7):663-668. 10.1209/0295-5075/9/7/009.
22. Bhatnagar P.L., Gross E.P., Krook M. A model for collision processes in gases. I. Small amplitude processes in charged and neutral one-component systems. Physical Reviews 1954, 94(3):511-525. 10.1103/PhysRev.94.511.
23. Zhou J.G. Lattice Boltzmann Methods for Shallow Water Flows 2004, Springer.
24. Bouzidi M., Firdaouss M., Lallemand P. Momentum transfer of a Boltzmann-lattice fluid with boundaries. Physics of Fluids 2001, 13(11):3452-3459. 10.1063/1.1399290.
25. A. Caiazzo, Asymptotic analysis of lattice Boltzmann method for fluid-structure interaction problems, Ph.D. thesis, Technische Universität Kaiserslautern, Scuola Normale Superiore Pisa, 2007.
26. Caiazzo A., Junk M. Boundary forces in lattice Boltzmann: analysis of momentum exchange algorithm. Computers and Mathematics with Applications 2008, 55(7):1415-1423. 10.1016/j.camwa.2007.08.004.
27. Löf H., Holmgren S. Affinity-on-next-touch: increasing the performance of an industrial PDE solver on a cc-NUMA system. Proceedings of the 19th Annual International Conference on Supercomputing 2005, 387-392. 10.1145/1088149.1088201.
28. Williams S., Oliker L., Vuduc R., Shalf J., Yelick K., Demmel J. Optimization of sparse matrix-vector multiplication on emerging multicore platforms. SC'07: Proceedings of the 2007 ACM/IEEE Conference on Supercomputing, Article No. 38 2007, 10.1145/1362622.1362674.
29. NVIDIA Corporation, NVIDIA CUDA Programming Guide Version 2.3. , 2009. http://www.nvidia.com/cuda.
30. IBM Corporation, SPE Runtime Management Library. , 2007. http://www-01.ibm.com/chips/techlib/techlib.nsf/pages/main.