dufaud.bib

@article{bere12a,
  author = {Berenguer, L. and Dufaud, T. and Tromeur-Dervout, D.},
  title = {Aitken's acceleration of the Schwarz process using singular value
        decomposition for heterogeneous 3D groundwater flow problems},
  journal = {Computers and Fluids},
  year = {2012},
  abstract = {This paper is devoted to the acceleration by Aitken’s technique of
        the convergence of the Schwarz domain decomposition method applied
        to large scale 3D problems with non-separable linear operators. These
        operators come from the discretization of groundwater flow problems
        modeled by the linear Darcy equation, where the permeability field
        is highly heterogeneous and randomly generated. To be computationally
        efficient, a low-rank approximation of the Aitken’s formula is computed
        from the singular value decomposition of successive iterated solutions
        on subdomains interfaces. Numerical results explore the efficiency
        of the solver with respect to the random distribution parameters,
        and specific implementations of the acceleration are compared for
        large scale 3D problems. These results confirm the numerical behavior
        of the methodology obtained on 2D Darcy problems (Tromeur-Dervout
        D. Meshfree adaptive Aitken-Schwarz domain decomposition with application
        to Darcy flow. Comput Sci Eng Technol 2009;21:217–50).},
  doi = {10.1016/j.compfluid.2012.01.026},
  x-editorial-board = {yes},
  x-international-audience = {yes}
}
@article{dufa12a,
  author = {Dufaud, T. and Tromeur-Dervout, D.},
  title = {Efficient parallel implementation of the fully algebraic multiplicative
	Aitken-RAS preconditioning technique},
  journal = {Advances in Engineering Software},
  year = {2012},
  volume = {53},
  pages = {33-44},
  abstract = {This paper details the software implementation of the ARAS preconditioning
	technique (Dufaud T, Tromeur-Dervout D. Aitken's acceleration of
	the Restricted Additive Schwarz preconditioning using coarse approximations
	on the interface. CR Math Acad Sci Paris 2010;348(13-14):821-4),
	in the PETSc framework. Especially, the PETSc implementation of interface
	operators involved in ARAS and the introduction of a two level of
	parallelism in PETSc for the RAS are described. The numerical and
	parallel implementation performances are studied on academic and
	industrial problems, and compared with the RAS preconditioning. For
	saving computational time on industrial problems, the Aitken's acceleration
	operator is approximated from the singular values decomposition technique
	of the RAS iterate solutions.},
  doi = {10.1016/j.advengsoft.2012.07.005},
  x-editorial-board = {yes},
  x-international-audience = {yes}
}
@inproceedings{dufaud12d,
  author = {Dufaud, T. and Tromeur-Dervout, D.},
  title = {ARAS2 preconditioning technique for CFD industrial cases},
  booktitle = {Proceedings of international conference on domain decomposition (DD20)},
  year = {2012},
  series = {LNCSE},
  publisher = {Springer},
  abstract = {A two-level preconditioning technique based on the Aitken’s acceleration 
	of the convergence of the Restricted Additive Schwarz (RAS) domain decomposition 
	method is derived. When it is applied to linear problems, the RAS has a pure 
	linear rate of convergence/divergence that can be enhanced with optimized 
	boundary conditions giving the ORAS method based on the underlying PDE. The RAS 
	method’s linear convergence allows its acceleration of the convergence by the 
	Aitken’s process. In this new two level algebraic preconditioner technique named 
	ARAS2, the coarse grid operator uses only parts of the artificial interfaces 
	contrary to the patch substructuring method. In this way, it can be seen as similar 
	as the SchurRAS method but it differs because the discrete Steklov-Poincar operator 
	connects the coarse artificial interfaces of all the subdomains. Numerical results 
	of the good properties of the ARAS2 preconditioning are provided on industrial 
	problems with no knowledge of the underlying equations.},
  x-international-audience = {yes},
  x-proceedings = {yes}
}
@inproceedings{pareng2011,
  author = {Dufaud, T. and Tromeur-Dervout, D.},
  title = {Numerical Investigations and Parallel Implementation of the ARAS2 Preconditioning Technique},
  booktitle = {95 Proceedings of the second international conference on parallel, distributed, grid and cloud computing for engineering},
  pages = {},
  year = {2011},
  editor = { P. Ivanyi and B.H.V. Topping }
}
@inproceedings{parco2011,
  author = {Berenguer, L. and Dufaud, T. and Pham, T. and Tromeur-Dervout, D.},
  title = {On-the-fly Singular Value Decomposition for Aitken's Acceleration of the Schwarz Domain Decomposition Method},
  booktitle = {Applications, Tools and Techniques on the Road to Exascale ComputingProc.},
  year = {2012},
  series = {Advances in Parallel Computing},
  volume = {22},
  editor = { De Bosschere, Koen and  D'Hollander, Erik H. and  Joubert, Gerhard R. and  Padua, David and  Peters, Frans and Sawyer, Mark},
  x-international-audience = {yes},
  x-proceedings = {yes}
}
@article{ARASCras,
  author = {Dufaud, T. and Tromeur-Dervout, D.},
  title = {Aitken's acceleration of the restricted additive {S}chwarz
              preconditioning using coarse approximations on the interface},
  journal = {C. R. Math. Acad. Sci. Paris},
  fjournal = {Comptes Rendus Math\'ematique. Acad\'emie des Sciences. Paris},
  volume = {348},
  year = {2010},
  number = {13-14},
  pages = {821--824},
  issn = {1631-073X},
  mrclass = {65F08 (65B05)},
  mrnumber = {2671168},
  doi = {10.1016/j.crma.2010.06.021},
  url = {http://dx.doi.org/10.1016/j.crma.2010.06.021}
}
@inproceedings{dufaud-parcfd09,
  author = {Dufaud, T. and Tromeur-Dervout, D.},
  title = {Adaptive Aitken-Schwarz Method for Non Separable Operator on Multiprocessor Systems},
  booktitle = {Parallel Computational Fluid Dynamics Recent Advances \& Future Directions},
  pages = {297--305},
  year = {2010},
  editor = {Rupak Biswas and NASA Ames Research Center, NASA Advanced Supercomputing Division},
  publisher = {DEStech Publications}
}