HONEI: A collection of libraries for numerical computations targeting multiple processor architectures

Computer Physics Communications

Volumn 180, Issue 12, 2009, Pages 2534-2543

  van Dyk, Danny ^a   Geveler, Markus ^a   Mallach, Sven ^a   Ribbrock, Dirk ^a   Göddeke, Dominik ^a   Gutwenger, Carsten ^a  

^a TU DORTMUND UNIVERSITY   (Germany)

Author keywords

Cell BE; CUDA; FEM for PDE; High performance computing; Mixed precision methods; Shallow water equations

Indexed keywords

CUDA; FEM FOR PDE; HIGH PERFORMANCE COMPUTING; MIXED PRECISION METHODS; SHALLOW WATER EQUATIONS;

AIRCRAFT ENGINES; CELL MEMBRANES; COMPUTATIONAL METHODS; COMPUTER ARCHITECTURE; COMPUTER GRAPHICS EQUIPMENT; COMPUTER OPERATING SYSTEMS; COMPUTER PROGRAMMING; COMPUTER SIMULATION; FINITE ELEMENT METHOD; HARDWARE; LIBRARIES; POISSON DISTRIBUTION; POISSON EQUATION; PROBLEM ORIENTED LANGUAGES; PROGRAM PROCESSORS; TEST FACILITIES;

COMPUTER HARDWARE;

EID: 70350602398     PISSN: 00104655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cpc.2009.04.018     Document Type: Article

References (30)

1. Satish Balay, Kris Buschelman, William D. Gropp, Dinesh Kaushik, Matthew G. Knepley, Lois Curfman McInnes, Barry F. Smith, Hong Zhang, PETSc Web page, http://www.mcs.anl.gov/petsc, 2001
2. Christian Becker, Strategien und Methoden zur Ausnutzung der High-Performance-Computing-Ressourcen moderner Rechnerarchitekturen für Finite Element Simulationen und ihre Realisierung in FEAST (Finite Element Analysis & Solution Tools), PhD thesis, Universität Dortmund, May 2007, http://www.logos-verlag.de/cgi-bin/buch?isbn=1637
3. Blatt M., and Bastian P. On the generic parallelisation of iterative solvers for the finite element method. International Journal of Computational Science and Engineering 4 1 (2008) 56-69
4. Alfredo Buttari, Jack J. Dongarra, Jakub Kurzak, PLASMA Web page, http://icl.cs.utk.edu/plasma, 2009
5. Buttari A., Dongarra J.J., Kurzak J., Langou J., Luszczek P., and Tomov S. The impact of multicore on math software. Proceedings of PARA 2006, Applied Parallel Computing. State of the Art in Scientific Computing. Lecture Notes in Computer Science vol. 4699 (2006), Springer 1-10
6. Alfredo Buttari, Piotr Luszczek, Jakub Kurzak, Jack J. Dongarra, George Bosilca, SCOP3: A rough guide to scientific computing on the PlayStation 3, Technical report, Innovative Computing Laboratory, University of Tennessee Knoxville, 2007. UT-CS-07-595
7. Phillip Colella, Thom H. Dunning Jr., William D. Gropp, David E. Keyes, A science-based case for large-scale simulation, Technical report, Office of Science, US Department of Energy, http://www.pnl.gov/scales, July 2003
8. Delis A.I., and Katsaounis T.D. Numerical solution of the two-dimensional shallow water equations by the application of relaxation methods. Applied Mathematical Modelling 29 8 (2005) 754-783
9. Douglas C.C., Hu J., Karl W., Kowarschik M., Rüde U., and Weiß C. Fixed and adaptive cache aware algorithms for multigrid methods. In: Dick E., Riemslagh K., and Vierendeels J. (Eds). Multigrid Methods VI. Lecture Notes in Computational Science and Engineering vol. 14 (2000), Springer 87-93
10. Douglas C.C., Hu J., Kowarschik M., Rüde U., and Weiß C. Cache optimization for structured and unstructured grid multigrid. Electronic Transactions on Numerical Analysis 10 (2000) 21-40
11. Douglas C.C., and Thorne D.T. A note on cache memory methods for multigrid in three dimensions. Contemporary Mathematics 306 (2002) 167-177
12. Kayvon Fatahalian, Timothy J. Knight, Mike Houston, Mattan Erez, Daniel R. Horn, Larkhoon Leem, Ji Young Park, Manman Ren, Alex Aiken, William J. Dally, Pat Hanrahan, Sequoia: Programming the memory hierarchy, in: SC '06: Proceedings of the 2006 ACM/IEEE Conference on Supercomputing, November 2006
13. Dominik Göddeke, Robert Strzodka, Performance and accuracy of hardware-oriented native, emulated- and mixed-precision solvers in FEM simulations (Part 2: Double precision GPUs), Technical report, Fakultät für Mathematik, Technische Universität Dortmund, 2008 (Invited talk at NVISION 2008 - The World of Visual Computing, nummer 370)
14. Göddeke D., Strzodka R., and Turek S. Performance and accuracy of hardware-oriented native-, emulated- and mixed-precision solvers in FEM simulations. International Journal of Parallel, Emergent and Distributed Systems 22 4 (2007) 221-256
15. Kazushige Goto, GotoBLAS, http://www.tacc.utexas.edu/resources/software/#blas
16. Peter Gottschling, David S. Wise, Michael D. Adams, Representation-transparent matrix algorithms with scalable performance, in: ICS '07: Proceedings of the 21st Annual International Conference on Supercomputing, 2007, pp. 116-125
17. Heroux M.A., Bartlett R.A., Howle V.E., Hoekstra R.J., Hu J.J., Kolda T.G., Lehoucq R.B., Long K.R., Pawlowski R.P., Phipps E.T., Salinger A.G., Thornquist H.K., Tuminaro R.S., Willenbring J.M., Williams A., and Stanley K.S. An overview of the Trilinos project. ACM Transactions on Mathematical Software 31 3 (2005) 397-423. http://trilinos.sandia.gov/
18. IBM Corporation, SPE Runtime Management Library, http://www-01.ibm.com/chips/techlib/techlib.nsf/pages/main, 2007
19. Kahle J.A., Day M.N., Hofstee H.P., Johns C.R., Maeurer T.R., and Shippy D. Introduction to the Cell multiprocessor. IBM Journal of Research and Development 45 4/5 (2005) 589-604. http://www.research.ibm.com/journal/rd/494/kahle.html
20. Keyes D.E. Terascale implicit methods for partial differential equations. In: Feng X., and Schulze T.P. (Eds). Recent Advances in Numerical Methods for Partial Differential Equations and Applications. Contemporary Mathematics vol. 306 (January 2002), American Mathematical Society 29-84
21. Julie Langou, Julien Langou, Piotr Luszczek, Jakub Kurzak, Alfredo Buttari, Jack J. Dongarra, Tools and techniques for performance - exploiting the performance of 32 bit floating point arithmetic in obtaining 64 bit accuracy (revisiting iterative refinement for linear systems), in: SC '06: Proceedings of the 2006 ACM/IEEE Conference on Supercomputing, 2006, p. 113
22. Lindholm E., Nickolls J., Oberman S., and Montrym J. NVIDIA Tesla: A unified graphics and computing architecture. IEEE Micro 28 2 (2008) 39-55
23. NVIDIA Corporation, NVIDIA CUDA Compute Unified Device Architecture Programming Guide (Version 2.0), http://www.nvidia.com/cuda, 2008
24. Owens J.D., Houston M., Luebke D., Green S., Stone J.E., and Phillips J.C. GPU computing. Proceedings of the IEEE 96 5 (2008) 879-899
25. Owens J.D., Luebke D., Govindaraju N., Harris M., Krüger J., Lefohn A.E., and Purcell T.J. A survey of general-purpose computation on graphics hardware. Computer Graphics Forum 26 1 (2007) 80-113
26. Michael P. Perrone, Tanaz Sowadagar, Cell BE software programming and toolkits, in: SC '06: Proceedings of the 2006 ACM/IEEE Conference on Supercomputing, 2006
27. Dac C. Pham, Shigehiro Asano, Mark Bolliger, Michael N. Day, H. Peter Hofstee, Charles R. Johns, James A. Kahle, Atsushi Kameyama, John Keaty, Yoshio Masubuchi, Mack Riley, David Shippy, Daniel L. Stasiak, Masakazu Suzuoki, M. Wang, James Warnock, Steve Weitzel, Dieter Wendel, Takeshi Yamazaki, Kazuaki Yazawa, The design and implementation of a first-generation CELL processor, in: Solid-State Circuits Conference, ISSCC 2005, Digest of Technical Papers, vol. 1, February 2005, pp. 184-592
28. Sony Corporation, Toshiba Corporation, IBM Corporation, Cell BE processor and blade systems, http://www-03.ibm.com/technology/splash/qs20/, http://www.ibm.com/developerworks/power/cell
29. Turek S., Becker C., and Kilian S. Hardware-oriented numerics and concepts for PDE software. Future Generation Computer Systems 22 1-2 (2004) 217-238
30. Samuel Williams, John Shalf, Leonid Oliker, Shoaib Kamil, Parry Husbands, Katherine Yelick, The potential of the Cell processor for scientific computing, in: CF '06: Proceedings of the ACM International Conference on Computing Frontiers, May 2006, pp. 9-20