R. Vasudevan, S. S. Vadhiyar, and L. V. Kalé, G-Charm, Proceedings of the 27th international ACM conference on International conference on supercomputing, ICS '13, pp.349-358, 2013.
DOI : 10.1145/2464996.2465444

G. Bosilca, A. Bouteiller, A. Danalis, T. Herault, P. Luszczek et al., Scalable dense linear algebra on heterogeneous hardware, Advances in Parallel Computing, 2013.

J. Bueno, X. Martorell, R. M. Badia, E. Ayguadé, and J. Labarta, Implementing OmpSs support for regions of data in architectures with multiple address spaces, Proceedings of the 27th international ACM conference on International conference on supercomputing, ICS '13, 2013.
DOI : 10.1145/2464996.2465017

T. Gautier, J. V. Lima, N. Maillard, and B. Raffin, XKaapi: A Runtime System for Data-Flow Task Programming on Heterogeneous Architectures, 2013 IEEE 27th International Symposium on Parallel and Distributed Processing, pp.1299-1308, 2013.
DOI : 10.1109/IPDPS.2013.66

URL : https://hal.archives-ouvertes.fr/hal-00799904

C. Augonnet, S. Thibault, R. Namyst, and P. Wacrenier, StarPU: a unified platform for task scheduling on heterogeneous multicore architectures, Concurrency and Computation: Practice and Experience, vol.23, issue.4, pp.187-198, 2011.
DOI : 10.1002/cpe.1631

URL : https://hal.archives-ouvertes.fr/inria-00384363

J. Virieux, wave propagation in heterogeneous media: Velocity???stress finite???difference method, GEOPHYSICS, vol.51, issue.4, pp.889-901, 1986.
DOI : 10.1190/1.1442147

P. Moczo, J. Robertsson, and L. Eisner, The finite-difference timedomain method for modeling of seismic wave propagation, Advances in Wave Propagation in Heterogeneous Media, ser. Advances in Geophysics, pp.421-516, 2007.

F. Dupros, H. Do, and H. Aochi, On Scalability Issues of the Elastodynamics Equations on Multicore Platforms, Proceedings of the International Conference on Computational Science, pp.1226-1234, 2013.
DOI : 10.1016/j.procs.2013.05.289

URL : https://hal.archives-ouvertes.fr/hal-00797682

R. Abdelkhalek, H. Calandra, O. Coulaud, G. Latu, and J. Roman, Fast seismic modeling and reverse time migration on a graphics processing unit cluster, Concurrency and Computation: Practice and Experience, pp.739-750, 2012.
DOI : 10.1002/cpe.1875

URL : https://hal.archives-ouvertes.fr/hal-00653499

L. De-oliveira-martins, M. A. Da-silva, M. Arruda, J. Duarte, P. M. Silva et al., Accelerating curvature estimate in 3d seismic data using GPGPU, 26th IEEE International Symposium on Computer Architecture and High Performance Computing, SBAC- PAD 2014, pp.105-111, 2014.

P. Micikevicius, 3D finite difference computation on GPUs using CUDA, Proceedings of 2nd Workshop on General Purpose Processing on Graphics Processing Units, GPGPU-2, pp.79-84, 2009.
DOI : 10.1145/1513895.1513905

D. Michéa and D. Komatitsch, Accelerating a 3D finite-difference wave propagation code using GPU graphics cards, Geophysical Journal International, vol.182, issue.1, pp.389-402, 2010.

U. De-bordeaux, C. , and I. , Starpu handbook, 2014.

U. I. De-santander, Super computación y cálculo científico UIS, 2015.

E. Agullo, C. Augonnet, J. Dongarra, M. Faverge, J. Langou et al., LU factorization for accelerator-based systems, 2011 9th IEEE/ACS International Conference on Computer Systems and Applications (AICCSA), pp.217-224, 2011.
DOI : 10.1109/AICCSA.2011.6126599

URL : https://hal.archives-ouvertes.fr/hal-00654193

E. Agullo, C. Augonnet, J. Dongarra, M. Faverge, H. Ltaief et al., QR Factorization on a Multicore Node Enhanced with Multiple GPU Accelerators, 2011 IEEE International Parallel & Distributed Processing Symposium, pp.16-20, 2011.
DOI : 10.1109/IPDPS.2011.90

URL : https://hal.archives-ouvertes.fr/inria-00547614

X. Lacoste, M. Faverge, G. Bosilca, P. Ramet, and S. Thibault, Taking Advantage of Hybrid Systems for Sparse Direct Solvers via Task-Based Runtimes, 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, pp.29-38, 2014.
DOI : 10.1109/IPDPSW.2014.9

URL : https://hal.archives-ouvertes.fr/hal-00925017

M. Christen, O. Schenk, and Y. Cui, Patus for convenient highperformance stencils: evaluation in earthquake simulations Storage and Analysis, ser. SC '12, Proceedings of the International Conference on High Performance Computing, Networking, pp.1-1110, 2012.

H. Dursun, K. Nomura, L. Peng, R. Seymour, W. Wang et al., A Multilevel Parallelization Framework for High-Order Stencil Computations, Euro-Par, 2009.
DOI : 10.1109/5992.852388

J. Reinders and J. Jeffers, High Performance Parallelism Pearls: Multicore and Many-core Programming Approaches, 2014.

J. Krueger, D. Donofrio, J. Shalf, M. Mohiyuddin, S. Williams et al., Hardware/software co-design for energyefficient seismic modeling, Supercomputing Conferece (SC), pp.731-7312, 2011.

M. Castro, F. Dupros, E. Francesquini, J. Mehautk, and P. Navaux, Energy Efficient Seismic Wave Propagation Simulation on a Low-Power Manycore Processor, 2014 IEEE 26th International Symposium on Computer Architecture and High Performance Computing, pp.57-64, 2014.
DOI : 10.1109/SBAC-PAD.2014.28

URL : https://hal.archives-ouvertes.fr/hal-01060286

D. Mercerat, L. Guillot, and J. Vilotte, Application of the Parareal Algorithm for Acoustic Wave Propagation, AIP Conference Proceedings, pp.1521-1524, 2009.
DOI : 10.1063/1.3241388

L. Boillot, G. Bosilca, E. Agullo, and H. Calandra, Task-Based Programming for Seismic Imaging: Preliminary Results, 2014 IEEE Intl Conf on High Performance Computing and Communications, 2014 IEEE 6th Intl Symp on Cyberspace Safety and Security, 2014 IEEE 11th Intl Conf on Embedded Software and Syst (HPCC,CSS,ICESS), pp.1259-1266, 2014.
DOI : 10.1109/HPCC.2014.205

URL : https://hal.archives-ouvertes.fr/hal-01057580

H. Calandra, R. Dolbeau, P. Fortin, J. Lamotte, and I. Said, Evaluation of Successive CPUs/APUs/GPUs Based on an OpenCL Finite Difference Stencil, 2013 21st Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, pp.405-409, 2013.
DOI : 10.1109/PDP.2013.65

URL : https://hal.archives-ouvertes.fr/hal-01216513

R. K. Tesser, L. L. Pilla, F. Dupros, P. O. Navaux, J. Méhaut et al., Improving the Performance of Seismic Wave Simulations with Dynamic Load Balancing, 2014 22nd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, pp.196-203, 2014.
DOI : 10.1109/PDP.2014.37

URL : https://hal.archives-ouvertes.fr/hal-00953133