Y. Achdou and F. Nataf, Low frequency tangential ltering decomposition, Numerical Linear Algebra with Applications, p.129147, 2007.

P. R. Amestoy, I. S. Duff, J. Excellent, and J. Koster, A Fully Asynchronous Multifrontal Solver Using Distributed Dynamic Scheduling, SIAM Journal on Matrix Analysis and Applications, vol.23, issue.1, p.1541, 2001.
DOI : 10.1137/S0895479899358194

URL : https://hal.archives-ouvertes.fr/hal-00808293

P. R. Amestoy, I. S. Duff, D. Ruiz, and B. Uçar, A parallel matrix scaling algorithm, in High Performance Computing for Computational Science -VECPAR, p.301313, 2008.

G. Atenekeng-kahou, Parallélisation de GMRES préconditionné par une itération de Schwarz multiplicatif, 2008.

J. Baglama, D. Calvetti, G. H. Golub, and L. , Adaptively preconditioned GM- RES algorithms, SIAM J. Sci. Comput, vol.20, p.243269, 1998.
DOI : 10.1137/s1064827596305258

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.48.447

Z. Bai, D. Hu, and L. , A Newton basis GMRES implementation, IMA Journal of Numerical Analysis, vol.14, issue.4, p.563581, 1994.
DOI : 10.1093/imanum/14.4.563

M. Benzi, Preconditioning Techniques for Large Linear Systems: A Survey, Journal of Computational Physics, vol.182, issue.2, p.418477, 2002.
DOI : 10.1006/jcph.2002.7176

K. Burrage and J. Erhel, On the performance of various adaptive preconditioned GMRES strategies, Numerical Linear Algebra with Applications, p.101121, 1998.

X. Cai and M. Sarkis, A Restricted Additive Schwarz Preconditioner for General Sparse Linear Systems, SIAM Journal on Scientific Computing, vol.21, issue.2, p.792797, 1999.
DOI : 10.1137/S106482759732678X

A. Chapman and Y. Saad, Deated and augmented Krylov subspace techniques, Numerical Linear Algebra with Applications, p.4366, 1997.

R. Da-cunha, D. Becker, and J. Patterson, New Parallel (Rank-Revealing) QR Factorization Algorithms, Euro-Par 2002 Parallel Processing, p.209237, 2002.
DOI : 10.1007/3-540-45706-2_94

T. A. Davis and Y. Hu, The university of Florida sparse matrix collection, ACM Transactions on Mathematical Software, vol.38, issue.1, p.38, 2011.
DOI : 10.1145/2049662.2049663

E. and D. Sturler, Iterative Methods on Distributed Memory Computers, 1994.

J. Demmel, L. Grigori, M. F. Hoemmen, and J. Langou, Communication-optimal Parallel and Sequential QR and LU Factorizations, SIAM Journal on Scientific Computing, vol.34, issue.1, 2011.
DOI : 10.1137/080731992

URL : https://hal.archives-ouvertes.fr/hal-00870930

M. Eiermann, O. G. Ernst, and O. Schneider, Analysis of acceleration strategies for restarted minimal residual methods, III. Linear algebra, p.261292, 2000.
DOI : 10.1016/S0377-0427(00)00398-8

H. C. Elman, O. G. Ernst, and D. P. Leary, A multigrid method enhanced by Krylov subspace iteration for discrete Helmhotz equations, SIAM J. Sci. Comput, vol.23, p.12911315, 2001.

M. Hoemmen, Communication-avoiding Krylov subspace methods, 2010.

W. Jalby and B. Philippe, Stability Analysis and Improvement of the Block Gram???Schmidt Algorithm, SIAM Journal on Scientific and Statistical Computing, vol.12, issue.5, p.10581073, 1991.
DOI : 10.1137/0912056

URL : https://hal.archives-ouvertes.fr/inria-00075396

W. Joubert and G. Carey, Parallelizable restarted iterative methods for nonsymmetric linear systems. part II: Parallel implementation, Intern, J. Computer Math, vol.44, pp.269-290, 1992.

S. A. Kharchenko and A. Y. Yeremin, Eigenvalue translation based preconditioners for the GMRES(k) method, Numer, Linear Algebra Appl, vol.2, p.5177, 1995.

S. Kim and A. Chronopoulos, An ecient parallel algorithm for extreme eigenvalues of sparse nonsymmetric matrices, International Journal of High Performance Computing Applications, vol.6, p.407420, 1992.

P. Kumar, L. Grigori, F. Nataf, and Q. Niu, Combinative preconditioning based on Relaxed Nested Factorization and Tangential Filtering preconditioner, 2009.
URL : https://hal.archives-ouvertes.fr/inria-00392881

M. Mohiyuddin, M. Hoemmen, J. Demmel, and K. Yelick, Minimizing communication in sparse matrix solvers, Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis, SC '09, p.112, 2009.
DOI : 10.1145/1654059.1654096

R. B. Morgan, A restarted GMRES method augmented with eigenvectors [31] , GMRES with deated restarting, SIAM J. Matrix Anal. Appl. SIAM J. Sci. Comput, vol.16, issue.24, pp.11541171-2037, 1995.

D. , N. Wakam, and G. , Atenekeng Kahou, Parallel GMRES with a multiplicative Schwarz preconditioner, ARIMA Rev, Afr. Rech. Inform. Math. Appl, 2010.

D. Nuentsa-wakam, J. Erhel, E. Canot, and G. , Atenekeng Kahou, A comparative study of some distributed linear solvers on systems arising from uid dynamics simulations, in Parallel Computing: From Multicores and GPU's to Petascale, of Advances in Parallel Computing, p.5158, 2010.

F. Pacull, S. Aubert, and M. Buisson, Study of ILU factorization for schwarz preconditioners with application to computational uid dynamics, Proceedings of the Second International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering, 2011.

B. Philippe and L. , On the generation of Krylov subspace bases, Applied Numerical Mathematics, vol.62, issue.9, 2011.
DOI : 10.1016/j.apnum.2010.12.009

URL : https://hal.archives-ouvertes.fr/inria-00433009

Y. Saad, Iterative methods for sparse linear systems, Society for Industrial and Applied Mathematics, 2003.
DOI : 10.1137/1.9780898718003

Y. Saad and M. H. Schultz, GMRES: A Generalized Minimal Residual Algorithm for Solving Nonsymmetric Linear Systems, SIAM Journal on Scientific and Statistical Computing, vol.7, issue.3, p.856869, 1986.
DOI : 10.1137/0907058

R. B. Sidje, Alternatives for parallel Krylov subspace basis computation, Numerical Linear Algebra with Applications, p.305331, 1997.

V. Simoncini, On a non-stagnation condition for GMRES and application to saddle point matrices, Electron. Trans. Numer. Anal, vol.37, p.202213, 2010.

V. Simoncini and D. B. Szyld, Recent computational developments in Krylov subspace methods for linear systems, Numerical Linear Algebra with Applications, vol.15, issue.156, p.159, 2007.
DOI : 10.1002/nla.499

M. Sosonkina, L. T. Watson, R. K. Kapania, and H. F. Walker, A new adaptive GMRES algorithm for achieving high accuracy, Numer, Linear Algebra Appl, vol.5, p.275297, 1998.

H. A. Van-der-vorst and C. Vuik, The superlinear convergence behaviour of GMRES, Journal of Computational and Applied Mathematics, vol.48, issue.3, p.327341, 1993.
DOI : 10.1016/0377-0427(93)90028-A