A. [. Aström, J. Carter, K. Hetherington, E. Ioakimidis, G. Lindahl et al., Preparing scientific application software for exascale computing Runtime function instrumentation with EZTRACE, Proceedings of the 11th International Conference on Applied Parallel and Scientific Computing, PARA'12 Euro-Par 2012: Parallel Processing Workshops, pp.27-42, 2013.

T. [. Bruening, S. Garnett, and . Amarasinghe, An infrastructure for adaptive dynamic optimization, International Symposium on Code Generation and Optimization, 2003. CGO 2003., pp.265-275, 2003.
DOI : 10.1109/CGO.2003.1191551

. L. Dbc-+-05-], D. Djoudi, P. Barthou, C. Carribault, J. Lemuet et al., MAQAO: Modular assembler quality analyzer and optimizer for itanium 2, The 4th Workshop on EPIC architectures and compiler technology, 2005.

V. Grandgirard, M. Brunetti, P. Bertrand, N. Besse, X. Garbet et al., A drift-kinetic Semi-Lagrangian 4D code for ion turbulence simulation, Journal of Computational Physics, vol.217, issue.2, pp.395-423, 2006.
DOI : 10.1016/j.jcp.2006.01.023
URL : https://hal.archives-ouvertes.fr/hal-00594856

Y. [. Garbet, L. Idomura, T. H. Villard, and . Watanabe, Gyrokinetic simulations of turbulent transport, Nuclear Fusion, vol.50, issue.4, p.43002, 2010.
DOI : 10.1088/0029-5515/50/4/043002

Y. Grandgirard, X. Sarazin, G. Garbet, P. Dif-pradalier, N. Ghendrih et al., Computing ITG turbulence with a full-f semi-Lagrangian code, Hah88] . T. S. Hahm. Nonlinear gyrokinetic equations for tokamak microturbulence, pp.81-87702, 1988.
DOI : 10.1016/j.cnsns.2007.05.016
URL : https://hal.archives-ouvertes.fr/hal-00141419

. S. Kpe-+-12-], T. Kunkel, J. M. Potjans, H. E. Eppler, A. Plesser et al., Meeting the memory challenges of brain-scale network simulation, Frontiers in neuroinformatics, vol.5, p.35, 2012.

N. [. Latu, V. Crouseilles, E. Grandgirard, and . Sonnendrucker, Gyrokinetic Semi-lagrangian Parallel Simulation Using a Hybrid OpenMP/MPI Programming, Recent Advances in PVM and MPI, pp.356-364, 2007.
DOI : 10.1007/978-3-540-75416-9_48
URL : https://hal.archives-ouvertes.fr/hal-00605748

R. Luk, R. Cohn, H. Muth, A. Patil, G. Klauser et al., Pin, ACM SIGPLAN Notices PPAM (2), pp.190-200, 2005.
DOI : 10.1145/1064978.1065034

G. [. Rozar, J. Latu, and . Roman, Achieving Memory Scalability in the Gysela Code to Fit Exascale Constraints, Parallel Processing and Applied Mathematics, Lecture Notes in Computer Science, pp.185-195
DOI : 10.1007/978-3-642-55195-6_17
URL : https://hal.archives-ouvertes.fr/hal-00935519

. J. Sdm11-], S. Shalf, J. Dosanjh, and . Morrison, Exascale computing technology challenges, High Performance Computing for Computational Science ? VECPAR 2010, pp.1-25, 2011.