WaLBerla: HPC software design for computational engineering simulations

Journal of Computational Science

Volumn 2, Issue 2, 2011, Pages 105-112

  Feichtinger, C ^a   Donath, S ^a   Kostler H ^a   Gotz J ^a   Rude U ^a  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

Author keywords

Lattice Boltzmann method; MPI; Software Engineering; Software Quality

Indexed keywords

COMPUTATIONAL ENGINEERING; EXPANDABILITY; HETEROGENEOUS COMPUTATION; LATTICE BOLTZMANN; LATTICE-BOLTZMANN METHOD; MPI; PARALLEL SOFTWARE FRAMEWORK; PHYSICAL PHENOMENA; SOFTWARE QUALITY;

COMPUTER SOFTWARE SELECTION AND EVALUATION; FLOW OF FLUIDS; OPTIMIZATION;

SOFTWARE DESIGN;

EID: 79958767410     PISSN: 18777503     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jocs.2011.01.004     Document Type: Article

References (45)

1. Donath S., Feichtinger C., Pohl T., Götz J., Rüde U. Localized parallel algorithm for bubble coalescence in free surface Lattice-Boltzmann method. Lecture Notes in Computer Science, Euro-Par 2009, vol. 5704 2009, 735-746. Springer.
2. S. Bogner, Simulation of floating objects in free-surface flow, Diploma Thesis, January 2009.
3. D. Haspel, Simulation of clotting processes using non-Newtonian blood models and the Lattice Boltzmann method, Master's Thesis, February 2009.
4. Götz J., Iglberger K., Feichtinger C., Donath S., Rüde U. Coupling multibody dynamics and computational fluid dynamics on 8192 processor cores. Parallel Computing 2010, 36(2-3):142-151.
5. P. Neumann, Numerical simulation of nanoparticles in Brownian motion using the Lattice Boltzmann method, Diploma Thesis, July 2008.
6. Peano Information on the CFD Framework Peano February 2010, Available at http://www5.in.tum.de/peano/.
7. S. Freudiger, Entwicklung eines Parallelen, Adaptiven, Komponentenbasierten Strömungskerns für Hierarchische Gitter auf Basis des Lattice-Boltzmann-Verfahrens, Ph.D. Thesis, University Carolo-Wilhelmina, Braunschweig, 2009.
8. Bernsdorf J., Harrison S., Smith S., Lawford P., Hose D. Numerical simulation of clotting processes: a Lattice Boltzmann application in medical physics. Mathematics and Computers in Simulation 2006, 72(2-6):89-92.
9. Sailfish Information on the CFD Framework Sailfish October 2010, Available at http://sailfish.us.edu.pl/.
10. Palabos Information on the Palabos Project February 2010, Available at http://www.lbmethod.org/palabos/index.html/.
11. Bernaschi M., Melchionna S., Succi S., Fyta M., Kaxiras E., Sircar J. MUPHY: a parallel MUlti PHYsics/scale code for high performance bio-fluidic simulations. Computer Physics Communications 2009, 180(9):1495-1502.
12. Desplat J., Pagonabarraga I., Bladon P. LUDWIG: a parallel Lattice-Boltzmann code for complex fluids. Computer Physics Communications 2001, 134(3):273-290.
13. Gamma E., Helm R., Johnson R., Vlissides J. Design Patterns: Elements of Reusable Object-Oriented Software 1995, Addison-Wesley Longman Publishing Co., Inc., Boston, MA, USA.
14. Boehm B. A spiral model of software development and enhancement. ACM SIGSOFT Software Engineering Notes 1986, 11(4):14-24.
15. van Vliet H. Software Engineering: Principles and Practice 2008, John Wiley & Sons, Inc., New York, NY, USA. 3rd edition.
16. Yu D., Mei R., Luo L.-S., Shyy W. Viscous flow computation with the method of Lattice Boltzmann equation. Progress in Aerospace Sciences 2003, 39(5):329-367.
17. Wolf-Gladrow D. Lattice-Gas Cellular Automata and Lattice Boltzmann Models 2000, Springer.
18. Ansumali S., Karlin I. Single relaxation time model for entropic Lattice Boltzmann methods. Physical Review E 2002, 65(2-3):056312.
19. Geier M., Greiner A., Korvink J.G. Cascaded digital Lattice Boltzmann automaton for high reynolds number flows. Physical Review E 2006, 73(6):066705.
20. d'Humières D., Ginzburg I., Krafczyk M., Lallemand P., Luo L.-S. Multiple-relaxation-time Lattice Boltzmann models in three dimensions. Philosophical Transactions: Mathematical, Physical and Engineering Sciences 2002, 360(1792):437-451.
21. T. Pohl, High performance simulation of free surface flows using the Lattice Boltzmann method, Ph.D. Thesis, FAU, July 2008, http://www10.informatik.uni-erlangen.de/de/Publications/Dissertations/.
22. Körner C., Thies M., Hofmann T., Thürey N., Rüde U. Lattice Boltzmann model for free surface flow for modeling foaming. Journal of Statistical Physics 2005, 121(1-2):179-196.
23. Iglberger K., Thürey N., Rüde U. Simulation of moving particles in 3D with the Lattice Boltzmann method. Computers and Mathematics with Applications 2008, 55(7):1461-1468.
24. Peng L.-S.L.Y. A comparative study of immersed-boundary and interpolated bounce-back methods in LBE. Progress in Computational Fluid Dynamics 2008, 8(1-4):156-167.
25. J. Götz, K. Iglberger, M. Stürmer, U. Rüde: Direct Numerical Simulation of Particulate Flows on 294912 Processor Cores In: IEEE computer society: 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (Supercomputing'10, New Orleans, 13.11. -19.11.2010). 2010, S. 1-11 - ISBN 978-1-4244r-r7559-9.
26. OpenCL Information on OpenCL February 2010, Available at http://www.khronos.org/opencl/.
27. Wellein G., Zeiser T., Hager G., Donath S. On the single processor performance of simple Lattice Boltzmann kernels. Computers & Fluids 2006, 35(8-9):910-919. ISSN 0045-7930.
28. Boehm B., Brown J., Lipow M. Quantitative evaluation of software quality. Proceedings of the 2nd International Conference on Software Engineering 1976, 592-605. IEEE Computer Society Press, Los Alamitos, CA, USA.
29. Kan S. Metrics and Models in Software Quality Engineering 2002, Addison-Wesley Longman Publishing Co., Inc., Boston, MA, USA.
30. Spinellis D. Code Quality: The Open Source Perspective (Effective Software Development Series) 2006, Addison-Wesley Longman Publishing Co., Inc., Boston, MA, USA.
31. Al-Qutaish R.E. Measuring the software product quality during the software development life-cycle: an international organization for standardization standards perspective. Journal of Computer Science 2009, 5(5):392-397.
32. Sutter H., Alexandrescu A. C++ Coding Standards: 101 Rules, Guidelines, and Best Practices (C++ in Depth Series) 2004, Addison-Wesley Longman Publishing Co., Inc., Boston, MA, USA.
33. Doxygen Information on Source Code Documentation Generator Tool Doxygen February 2010, Available at http://www.doxygen.org/.
34. Subversion Information on Subversion February 2010, Available at http://subversion.apache.org/.
35. Boost Information on the C++ Library Boost February 2010, Available at http://www.boost.org/.
36. CMake Information on CMake February 2010, Available at http://www.cmake.org/.
37. Woodcrest Cluster February 2010, Information available at http://www.rrze.uni-erlangen.de/.
38. HLRB II February 2010, Information available at http://www.lrz-muenchen.de/english/index.html/.
39. Juropa and Jugene February 2010, Information available at http://fz-juelich.de/nic/.
40. M. Kowarschik, Data locality optimizations for iterative numerical algorithms and cellular automata on hierarchical memory architectures, Ph.D. Thesis, Friedrich-Alexander-University Erlangen-Nuremberg, Advances in Simulation 13, June 2004.
41. J. Treibig, Efficiency improvements of iterative numerical algorithms on modern architectures, Ph.D. Thesis, Friedrich-Alexander-University Erlangen-Nuremberg, 2008.
42. Stürmer M., Wellein G., Hager G., Köstler H., Rüde U. Challenges and potentials of emerging multicore architectures. High Performance Computing in Science and Engineering, Garching/Munich 2007 2008, 551-566. Springer-Verlag, Berlin, Heidelberg, New York.
43. Gradl T., Freundl C., Köstler H., Rüde U. Scalable multigrid. High Performance Computing in Science and Engineering, Garching/Munich 2007 2008, 475-483. Springer-Verlag, Berlin, Heidelberg, New York.
44. B. Bergen, Hierarchical hybrid grids: data structures and core algorithms for efficient finite element simulations on supercomputers, Ph.D. Thesis, Friedrich-Alexander-University Erlangen-Nuremberg, 2005.
45. Feichtinger C., Götz J., Donath S., Iglberger K., Rüde U. WaLBerla: exploiting massively parallel systems for Lattice Boltzmann simulations. Parallel Computing. Numerics, Applications and Trends 2009, Springer-Verlag, Berlin, Heidelberg, New York, pp. 240-259.