P. An, A. Jula, S. Rus, S. Saunders, T. Smith et al., STAPL: An adaptive, generic parallel C++ library. Lecture notes in computer science, pp.193-208, 2003.
DOI : 10.1007/3-540-35767-x_13
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.207.3775

S. Bhowmick, V. Eijkhout, Y. Freund, E. Fuentes, and D. Keyes, Application of machine learning to the selection of sparse linear solvers

S. Bhowmick, L. C. Mcinnes, B. Norris, and P. Raghavan, The Role of Multi-method Linear Solvers in PDE-based Simulations, pp.828-839, 2003.
DOI : 10.1007/3-540-44839-X_87

E. Bida and S. Toledo, An automatically-tuned sorting library, Software: Practice and Experience, vol.93, issue.11, 2006.
DOI : 10.1002/spe.802

M. Bougeret, P. F. Dutot, A. Goldman, Y. Ngoko, and D. Trystram, Combining multiple heuristics on discrete resources, 2009 IEEE International Symposium on Parallel & Distributed Processing, 2009.
DOI : 10.1109/IPDPS.2009.5160879
URL : https://hal.archives-ouvertes.fr/hal-00688739

J. Buisson, F. André, and J. Pazat, A framework for dynamic adaptation of parallel components, PARCO, pp.65-72, 2005.
URL : https://hal.archives-ouvertes.fr/hal-00498836

E. K. Burke, M. R. Hyde, G. Kendall, G. Ochoa, E. Ozcan et al., Exploring Hyper-heuristic Methodologies with Genetic Programming, Computational Intelligence, pp.177-201, 2009.
DOI : 10.1007/978-3-642-01799-5_6

J. Demmel, J. Dongarra, V. Eijkhout, E. Fuentes, A. Petitet et al., Self-Adapting Linear Algebra Algorithms and Software, Proceedings of the IEEE, pp.293-312, 2005.
DOI : 10.1109/JPROC.2004.840848
URL : http://bebop.cs.berkeley.edu/pubs/ieee_sans.pdf

J. Dongarra, G. Bosilca, Z. Chen, V. Eijkhout, E. Fagg et al., Self-adapting numerical software (SANS) effort, IBM Journal of Research and Development, vol.50, issue.2.3, pp.223-238, 2006.
DOI : 10.1147/rd.502.0223

V. Eijkhout, E. Fuentes, T. Eidson, and J. Dongarra, The Component Structure of a Self-Adapting Numerical Software System, International Journal of Parallel Programming, vol.93, issue.2, pp.137-143, 2005.
DOI : 10.1007/s10766-005-3577-3

A. Goldman, Y. Ngoko, and D. Trystram, Optimizing resource sharing on cooperative execution of algorithms, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00796872

B. A. Huberman, R. M. Lukose, and T. Hogg, An Economics Approach to Hard Computational Problems, Science, vol.275, issue.5296, pp.51-54, 1997.
DOI : 10.1126/science.275.5296.51

E. Donald and . Knuth, The Art of Computer Programming Sorting and Searching, 1998.

G. Steven and . Frigo, FFTW: An adaptive software architecture for the FFT, proceedings of the International Conference on Acoustics, Speech and Signal Processing, 1998.

Y. Ngoko and D. Trystram, Combining numerical iterative solvers, PARCO, pp.43-50, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00690816

R. Qu, E. K. Burke, and B. Mccollum, Adaptive automated construction of hybrid heuristics for exam timetabling and graph colouring problems, European Journal of Operational Research, vol.198, issue.2, pp.392-404, 2009.
DOI : 10.1016/j.ejor.2008.10.001

A. Petitet, R. C. Whaley, and J. Dongarra, Automated empirical optimization of software and the ATLAS project, Parallel Computing, vol.27, issue.12, pp.3-35, 2001.

J. Roch, D. Traoré, and J. Bernard, On-Line Adaptive Parallel Prefix Computation, Euro-Par, pp.841-850, 2006.
DOI : 10.1007/11823285_88
URL : https://hal.archives-ouvertes.fr/hal-00689026

M. Jesús-garzarán-xiaoming, D. A. Li, and . Padua, A dynamically tuned sorting library, IEEE/ACM International Symposium on Code Generation and Optimization (CGO), pp.111-124, 2004.

L. Xu, F. Hutter, H. H. Hoos, and K. Leyton-brown, Satzilla: Portfolio-based algorithm selection for sat, J. Artif. Intell. Res. (JAIR), vol.32, pp.565-606, 2008.