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6 17:28 183 Objectives This PhD thesis aims at developing innovative randomized algorithms and software for sparse matrix computations, either for direct or iterative methods. The resulting software will be applied to large-size simulations addressed by ParSys and its Paris-Saclay partners in the area of high-performance computing (LIMSI, EDF, Centrale Paris). Moreover, for sake of visibility of the results, our objective is that the software developed during this thesis would be part of a reference public domain library for fast HPC solvers.
This PhD thesis aims at developing innovative randomized algorithms and software for sparse matrix computations, either for direct or iterative methods. The resulting software will be applied to large-size simulations addressed by ParSys and its Paris-Saclay partners in the area of high-performance computing (LIMSI, EDF, Centrale Paris). Moreover, for sake of visibility of the results, the software developed during this thesis would be part of a reference public domain library for fast HPC solvers.
6 17:28 225 Domain - extra algorithms and software for HPC HPC
5 17:28 183 Objectives This PhD thesis aims at developing innovative randomized algorithms and software for sparse matrix computations, either for direct or iterative methods. The resulting software will be in applied to large-size simulations addressed by ParSys and its Paris-Saclay partners in the area of high-performance computing (LIMSI, EDF, Centrale Paris). Moreover, for sake of visibility of the results, our objective is that the software developed during this thesis would be part of a reference public domain library for fast HPC solvers.
This PhD thesis aims at developing innovative randomized algorithms and software for sparse matrix computations, either for direct or iterative methods. The resulting software will be applied to large-size simulations addressed by ParSys and its Paris-Saclay partners in the area of high-performance computing (LIMSI, EDF, Centrale Paris). Moreover, for sake of visibility of the results, our objective is that the software developed during this thesis would be part of a reference public domain library for fast HPC solvers.
5 17:28 225 Domain - extra HPC algorithms and software for HPC
3 17:28 183 Objectives This PhD thesis aims at developing innovative randomized algorithms and software for sparse matrix computations, either for direct or iterative methods. The resulting software will be in applied to large-size simulations addressed by ParSys and its Paris-Saclay partners in the area of high-performance computing (LIMSI, EDF, Centrale Paris). Moreover, for sake of visibility of the results, one of our aim is that the software developed during this thesis would be part of a reference public domain library.
This PhD thesis aims at developing innovative randomized algorithms and software for sparse matrix computations, either for direct or iterative methods. The resulting software will be in applied to large-size simulations addressed by ParSys and its Paris-Saclay partners in the area of high-performance computing (LIMSI, EDF, Centrale Paris). Moreover, for sake of visibility of the results, our objective is that the software developed during this thesis would be part of a reference public domain library for fast HPC solvers.
2 17:28 183 Objectives This PhD thesis aims at developing innovative randomized algorithms and software for sparse matrix computations, either for direct or iterative methods. The resulting software will be in applied to large-size simulations addressed by ParSys and its Paris-Saclay partners in the area of high-performance computing (LIMSI, EDF, Centrale Paris). Moreover, for sake of visibility of the results, one of our aim is that the software developed during this thesis would be part of a reference public domain library.
2 17:28 189 Collaborations University of Tennessee (Knoxville, USA), Lawrence Berkeley National Laboratory (Berkeley, USA)
1 17:28 181 Context This PhD thesis will take advantage of the new associate-team R-LAS with University of Tennessee (project lead by Marc Baboulin and Jack Dongarra). In the framework of this project, the PhD candidate will benefit from extended visits to Innovative Computing Laboratory (Knoxville, Tennessee), which is one of the world leader in High-Performance Computing.
1 17:28 225 Domain - extra HPC

Ecole Doctorale Informatique Paris-Sud


Directrice
Nicole Bidoit
Assistante
Stéphanie Druetta
Conseiller aux thèses
Dominique Gouyou-Beauchamps

ED 427 - Université Paris-Sud
UFR Sciences Orsay
Bat 650 - aile nord - 417
Tel : 01 69 15 63 19
Fax : 01 69 15 63 87
courriel: ed-info at lri.fr