E. Pakbaznia and M. Pedram, Minimizing data center cooling and server power costs, Proceedings of the 14th ACM/IEEE international symposium on Low power electronics and design, ISLPED '09, pp.145-150, 2009.
DOI : 10.1145/1594233.1594268

P. Kogge, Exascale computing study: Technology challenges in achieving exascale systems, Defense Advanced Research Projects Agency (DARPA), 2008.

N. Rajovic, The low-power architecture approach towards exascale computing, " in Workshop on Scalable Algorithms for Large- Scale Systems (ScalA), pp.1-2, 2011.

D. Göddeke and D. Komatitsch, Energy efficiency vs. performance of the numerical solution of PDEs: An application study on a low-power ARM-based cluster, Journal of Computational Physics, vol.237, pp.132-150, 2013.
DOI : 10.1016/j.jcp.2012.11.031

A. Morari, A. Tumeo, O. Villa, S. Secchi, and M. Valero, Efficient Sorting on the Tilera Manycore Architecture, 2012 IEEE 24th International Symposium on Computer Architecture and High Performance Computing, pp.171-178, 2012.
DOI : 10.1109/SBAC-PAD.2012.41

B. D. De-dinechin, P. G. De-massasa, and G. Lagera, A Distributed Run-Time Environment for the Kalray MPPA??-256 Integrated Manycore Processor, International Conference on Computational Science (ICCS), pp.1654-1663, 2013.
DOI : 10.1016/j.procs.2013.05.333

P. Aubry, P. Beaucamps, and F. Blanc, Extended Cyclostatic Dataflow Program Compilation and Execution for an Integrated Manycore Processor, International Conference on Computational Science (ICCS), pp.1624-1633, 2013.
DOI : 10.1016/j.procs.2013.05.330
URL : https://hal.archives-ouvertes.fr/hal-00832504

P. Moczo, The finite-difference time-domain method for modeling of seismic wave propagation, " in Advances in Wave Propagation in Heterogeneous Media, ser. Advances in Geophysics, pp.421-516, 2007.

F. Dupros, C. Pousa, A. Carissimi, and J. Méhaut, Parallel simulations of seismic wave propagation on NUMA architectures, International Conference on Parallel Computing

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

F. Dupros, H. Aochi, A. Ducellier, D. Komatitsch, and J. Roman, Exploiting Intensive Multithreading for the Efficient Simulation of 3D Seismic Wave Propagation, 2008 11th IEEE International Conference on Computational Science and Engineering, pp.253-260, 2008.
DOI : 10.1109/CSE.2008.51
URL : https://hal.archives-ouvertes.fr/hal-01020574

E. Rotem, Power-Management Architecture of the Intel Microarchitecture Code-Named Sandy Bridge, IEEE Micro, vol.32, issue.2, pp.20-27, 2012.
DOI : 10.1109/MM.2012.12

M. Hähnel, B. Döbel, M. Völp, and H. Härtig, Measuring energy consumption for short code paths using RAPL, ACM SIGMETRICS Performance Evaluation Review, vol.40, issue.3, pp.13-17, 2012.
DOI : 10.1145/2425248.2425252

E. Totoni and B. Behzad, Comparing the power and performance of Intel's SCC to state-of-the-art CPUs and GPUs, 2012 IEEE International Symposium on Performance Analysis of Systems & Software, pp.78-87, 2012.
DOI : 10.1109/ISPASS.2012.6189208

M. Castro, E. Francesquini, T. M. Nguélé, and J. Méhaut, Analysis of computing and energy performance of multicore, NUMA, and manycore platforms for an irregular application, Proceedings of the 3rd Workshop on Irregular Applications Architectures and Algorithms, IA^3 '13, 2013.
DOI : 10.1145/2535753.2535757

L. Borges and P. Thierry, 3D Finite Differences on Multi-core Processors, INTEL, 2011.

L. Borges and P. Thierry, Optimize seismic image processing on Intel many integrated core architecture (Intel MIC architecture ), Intel, 2011.

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

F. Dupros, H. Do, and H. Aochi, On Scalability Issues of the Elastodynamics Equations on Multicore Platforms, International Conference on Computational Science (ICCS), pp.1226-1234, 2013.
DOI : 10.1016/j.procs.2013.05.289
URL : https://hal.archives-ouvertes.fr/hal-00797682

H. Dursun, K. Nomura, L. Peng, R. Seymour, W. Wang et al., A Multilevel Parallelization Framework for High-Order Stencil Computations, European Conference on Parallel Processing, pp.642-653, 2009.
DOI : 10.1109/5992.852388

M. Christen, O. Schenk, and Y. Cui, Patus for convenient highperformance stencils: evaluation in earthquake simulations, International Conference on High Performance Computing, Networking, Storage and Analysis (SC, 2012.

R. Abdelkhalek, H. Calendra, O. Coulaud, J. Roman, and G. Latu, Fast seismic modeling and Reverse Time Migration on a GPU cluster, 2009 International Conference on High Performance Computing & Simulation, pp.36-43, 2009.
DOI : 10.1109/HPCSIM.2009.5192786
URL : https://hal.archives-ouvertes.fr/inria-00403933

J. Krueger, D. Donofrio, J. Shalf, M. Mohiyuddin, S. Williams et al., Hardware/software co-design for energyefficient seismic modeling, International Conference for High Performance Computing, Networking, Storage and Analysis (SC). ACM, p.73, 2011.

D. Göddeke, D. Komatitsch, M. Geveler, D. Ribbrock, N. Rajovic et al., Energy efficiency vs. performance of the numerical solution of PDEs: An application study on a low-power ARM-based cluster, Journal of Computational Physics, vol.237, pp.132-150, 2013.
DOI : 10.1016/j.jcp.2012.11.031