Add to ORKGPresentation at the 5th International workshop on Parallel Matrix Algorithms and Applications (PMAA'08)no abstrac
We describe the issues involved in the design and implementation of efficient parallel algorithms fo...
Gary Kumfert and Alex Pothen have improved the quality and run time of two ordering algorithms for m...
(eng) The memory usage of sparse direct solvers can be the bottleneck to solve large-scale problems ...
Presentation at the 5th International workshop on Parallel Matrix Algorithms and Applications (PMAA'...
We consider the solution of both symmetric and unsymmetric systems of sparse linear equations. A new...
International audienceIn this paper, we consider the computation in parallel of several entries of t...
International audienceDefinition : The multifrontal method is a direct method for solving systems of...
(eng) We are interested in the memory usage of sparse direct solvers. We particularly focus on the p...
In this poster, a GPU-accelerated sparse multifrontal solver for structurally symmetric matrices is ...
Key words: finite element method, multifrontal solver, load balancing We work on direct methods to s...
Nous nous intéressons à la résolution de systèmes linéaires creux de très grande taille par des méth...
This article addresses the problems of memory man-agement in a parallel sparse matrix factorization ...
International audienceTo solve sparse systems of linear equations, multifrontal methods rely on dens...
AbstractWe have recently multiprocessed a code for the direct solution of sparse linear equations on...
Direct methods for the solution of sparse systems of linear equations are used in a wide range of nu...
We describe the issues involved in the design and implementation of efficient parallel algorithms fo...
Gary Kumfert and Alex Pothen have improved the quality and run time of two ordering algorithms for m...
(eng) The memory usage of sparse direct solvers can be the bottleneck to solve large-scale problems ...
Presentation at the 5th International workshop on Parallel Matrix Algorithms and Applications (PMAA'...
We consider the solution of both symmetric and unsymmetric systems of sparse linear equations. A new...
International audienceIn this paper, we consider the computation in parallel of several entries of t...
International audienceDefinition : The multifrontal method is a direct method for solving systems of...
(eng) We are interested in the memory usage of sparse direct solvers. We particularly focus on the p...
In this poster, a GPU-accelerated sparse multifrontal solver for structurally symmetric matrices is ...
Key words: finite element method, multifrontal solver, load balancing We work on direct methods to s...
Nous nous intéressons à la résolution de systèmes linéaires creux de très grande taille par des méth...
This article addresses the problems of memory man-agement in a parallel sparse matrix factorization ...
International audienceTo solve sparse systems of linear equations, multifrontal methods rely on dens...
AbstractWe have recently multiprocessed a code for the direct solution of sparse linear equations on...
Direct methods for the solution of sparse systems of linear equations are used in a wide range of nu...
We describe the issues involved in the design and implementation of efficient parallel algorithms fo...
Gary Kumfert and Alex Pothen have improved the quality and run time of two ordering algorithms for m...
(eng) The memory usage of sparse direct solvers can be the bottleneck to solve large-scale problems ...