National audienceIn this talk, we present the use of PaStiX sparse direct solver in a Schwarz method for solving the frequencydomainMaxwell equations discretized by a high order HDG method. More precisely, the sparse solver is usedto solve a system on sub-domains while iterative refinement is performed to get the global solution. Recently,low-rank compression have been added to PaStiX in order to reduce the time-to-solution or the memory footprintof the solver. The resulting low-rank solver can be used either as a direct solver at a lower accuracy oras a good preconditionner for iterative methods. We will investigate the use of low-rank compression for thefrequency-domain Maxwell equations on large systems to experiment the compressibility ...
The dissertation presents some fast direct solvers and efficient preconditioners mainly for sparse m...
International audienceDirect methods for the solution of sparse systems of linear equations of the f...
TOPS is providing high-performance, scalable sparse direct solvers, which have had significant impac...
International audienceThis paper presents two approaches using a Block Low-Rank (BLR) compression te...
International audienceThis paper presents two approaches using a Block Low-Rank (BLR) compression te...
International audienceLow-rank compression techniques are very promising for reducing memory footpri...
This paper presents two approaches using a Block Low-Rank (BLR) compressiontechnique to reduce the m...
Through the recent improvements toward exascale supercomputer systems, huge computations can be perf...
International audienceIn this talk, we describe a preliminary fast direct solver using HODLR library...
International audienceSparse direct solvers using Block Low-Rank compression have been proven effici...
International audiencePaStiX is a scientific library that provides a high performance direct superno...
International audienceIn this talk, we present the PaStiX sparse supernodal solver, using hierarchic...
Factorization based preconditioning algorithms, most notably incomplete LU (ILU) factorization, have...
International audienceIn this talk, we present the PaStiX sparse supernodal solver, using hierarchic...
International audienceSolving sparse linear systems is a problem that arises in many scientific appl...
The dissertation presents some fast direct solvers and efficient preconditioners mainly for sparse m...
International audienceDirect methods for the solution of sparse systems of linear equations of the f...
TOPS is providing high-performance, scalable sparse direct solvers, which have had significant impac...
International audienceThis paper presents two approaches using a Block Low-Rank (BLR) compression te...
International audienceThis paper presents two approaches using a Block Low-Rank (BLR) compression te...
International audienceLow-rank compression techniques are very promising for reducing memory footpri...
This paper presents two approaches using a Block Low-Rank (BLR) compressiontechnique to reduce the m...
Through the recent improvements toward exascale supercomputer systems, huge computations can be perf...
International audienceIn this talk, we describe a preliminary fast direct solver using HODLR library...
International audienceSparse direct solvers using Block Low-Rank compression have been proven effici...
International audiencePaStiX is a scientific library that provides a high performance direct superno...
International audienceIn this talk, we present the PaStiX sparse supernodal solver, using hierarchic...
Factorization based preconditioning algorithms, most notably incomplete LU (ILU) factorization, have...
International audienceIn this talk, we present the PaStiX sparse supernodal solver, using hierarchic...
International audienceSolving sparse linear systems is a problem that arises in many scientific appl...
The dissertation presents some fast direct solvers and efficient preconditioners mainly for sparse m...
International audienceDirect methods for the solution of sparse systems of linear equations of the f...
TOPS is providing high-performance, scalable sparse direct solvers, which have had significant impac...