3D seismic imaging through reverse-time migration on homogeneous and heterogeneous multi-core processors

Scientific Programming

Volumn 17, Issue 1-2, 2009, Pages 185-198

  Araya Polo, Mauricio ^a   Rubio, Félix ^a   De La Cruz, Raúl ^a   Hanzich, Mauricio ^a   Cela, José María ^a   Scarpazza, Daniele Paolo ^b  

^a BARCELONA SUPERCOMPUTING CENTER   (Spain)

^b IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

Multi core; Performance; Reverse time migration; Seismic imaging

Indexed keywords

COMPUTER ARCHITECTURE; ENERGY EFFICIENCY; GAS INDUSTRY; INVESTMENTS; PUBLIC UTILITIES; SEISMIC PROSPECTING; SEISMOLOGY;

3D SEISMIC IMAGING; CELL/B.E; CELL/BE; COMPUTATIONAL POWER; HETEROGENEOUS MULTI CORE PROCESSORS; MULTI-CORES; PERFORMANCE; REVERSE TIME MIGRATIONS; SEISMIC IMAGING; STATE-OF-THE-ART TECHNIQUES;

MAPPING;

EID: 60649098999     PISSN: 10589244     EISSN: None     Source Type: Journal    
DOI: 10.1155/2009/382638     Document Type: Article

References (22)

1. G.L. Lore, D.A. Marin, E.C. Batchelder, W.C. Courtwright, R.P. Desselles and R.J. Klazynski, 2000 assessment of conventionally recoverable hydrocarbon resources of the Gulf ofMexico and Atlantic outer continental shelf, October 2001.
2. Associated Press, Brazil official cites giant oil-field discovery, April 2008.
3. G.A. McMechan, A review of seismic acoustic imaging by reverse-time migration, International Journal of Imaging Systems and Technology 1(1) (1989), 18-21.
4. S. Williams, J. Shalf, L. Oliker, S. Kamil, P. Husbands and K. Yelick, The potential of the cell processor for scientific computing, in: Proc. ACM Intl. Conf. on Computing Frontiers, Ischia, Italy, May 2006.
5. S. Williams, J. Carter, L. Oliker, J. Shalf and K. Yelick, Lattice Boltzmann simulation optimization on leading multicore platforms, in: Proc. IEEE Intl. Parallel & Distributed Processing Symposium (IPDPS'08), Miami, FL, USA, April 2008.
6. D.P. Scarpazza, O. Villa and F. Petrini, Peak-performance DFA-based string matching on the cell processor, in: Proc. Third IEEE/ACM Intl. Workshop on System Management Techniques, Processes and Services (SMTPS'07), within IEEE/ACM Intl. Parallel and Distributed Processing Symposium (IPDPS'07), Long Beach, CA, USA, March 2007.
7. D.P. Scarpazza, O. Villa and F. Petrini, High speed string searching against large dictionaries on the Cell/B.E. processor, in: Proc. IEEE Intl. Parallel & Distributed Processing Symposium (IPDPS'08), Miami, FL, USA, April 2008.
8. D.P. Scarpazza, O. Villa and F. Petrini, Efficient breadthfirst search algorithms for advanced multi-core processors, IEEE Transactions on Parallel and Distributed Systems 19(10) (2008), 1381-1395.
9. A. Sarje and S. Aluru, Parallel biological sequence alignments on the cell broadband engine, in: Proc. IEEE Intl. Parallel & Distributed Processing Symposium (IPDPS'08), Miami, FL, USA, April 2008.
10. S. Williams, J. Shalf, L. Oliker, S. Kamil, P. Husbands and K. Yelick, Scientific computing kernels on the cell processor, International Journal of Parallel Programming (IJPP) 35(3) (2007), 263-298.
11. A.-C. Lesage,M. Araya-Polo and G. Houzeaux,Wave acoustic propagation for geophysics imaging, finite difference vs. finite element methods comparison and boundary condition treatment, in: Proc. 5th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2008), co-Located with the 8th World Congress on Computational Mechanics (WCCM8), Venice, Italy, June 2008.
12. A. Ray, G. Kondayya and S.V.G. Menon, Developing a finite difference time domain parallel code for nuclear electromagnetic field simulation, IEEE Transaction on Antennas and Propagation 54 (2006), 1192-1199.
13. S. Operto, J. Virieux, P. Amestoy, L. Giraud and J.-Y. L'Excellent, 3D frequency-domain finite-difference modeling of acoustic wave propagation using a massively parallel direct solver: a feasibility study, in: SEG Technical Program Expanded Abstracts, Vol. 25, Society of Exploration Geophysicists, Melville, NY, USA, 2006, pp. 2265-2269.
14. G. Rodriguez, R.M. Badia and J. Labarta, An evaluation of Marenostrum performance, International Journal of High Performance Computing Applications 22(1) (2008), 81-96.
15. S. Kamil, P. Husbands, L. Oliker, J. Shalf and K. Yelick, Impact of modern memory subsystems on cache optimizations for stencil computations, in: Proc. 2005 Workshop on Memory System Performance (MSP'05), New York, NY, USA, 2005, pp. 36-43.
16. G. Rivera and C.-W. Tseng, Tiling optimizations for 3D scientific computations, in: Proc. ACM/IEEE Supercomputing Conference (SC 2000), Dallas, TX, USA, November 2000, p. 32.
17. M.E.Wolf andM.S. Lam, A data locality optimizing algorithm, in: Proc. ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI'91), Toronto, ON, Canada, June 1991.
18. L. Dagum and R. Menon, OpenMP: An industry-standard API for shared-memory programming, IEEE Computational Science & Engineering 5(1) (1998), 46-55.
19. G. Russell, Asmvis: IBM Assembly Visualizer for the Cell Broadband Engine, version 1.1, March 2008; available at: http://www.alphaworks.ibm.com/ tech/asmvis/.
20. M. Kistler, M. Perrone and F. Petrini, Cell multiprocessor communication network: Built for speed, IEEE Micro 26(3) (2006), 10-23.
21. J. Labarta, G. Jost, H. Jin and J. Gimenez, Interfacing computer aided parallelization and performance analysis, in: Proc. International Conference on Computational Science (ICCS'03), Melbourne, Australia, June 2003.
22. J.S. Vetter, S.R. Alam and J.S. Meredith, Balancing productivity and performance on the Cell Broadband Engine, in: Proc. IEEE Annual International Conference on Cluster Computing (Cluster 2007), Austin, TX, USA, September 2007.