Sparse

A NUMA Aware Scheduler for a Parallel Sparse Direct Solver

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A supernode amalgamation algorithm for an efficient block incomplete factorization

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A NUMA Aware Scheduler for a Parallel Sparse Direct Solver

Over the past few years, parallel sparse direct solvers made significant progress and are now able to solve efficiently industrial three-dimensional problems with several millions of unknowns. An hybrid MPI-thread implementation of our direct solver …

Dynamic Scheduling for sparse direct Solver on NUMA architectures

Over the past few years, parallel sparse direct solvers made significant progress and are now able to efficiently work on problems with several millions of equations. This paper presents some improvements on our sparse direct solver PaStiX1 for …

On finding approximate supernodes for an efficient ILU(k) factorization

Among existing preconditioners, the level-of-fill ILU has been quite popular as a general-purpose technique. Experimental observations have shown that, when coupled with block techniques, these methods can be quite effective in solving realistic …

A supernode amalgamation algorithm for an efficient block incomplete factorization

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High performances methods for solving large sparse linear systems - Direct and Incomplete Factorization

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Optimisation des performances des outils de calcul de neutronique des coeurs

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On finding approximate supernodes for an efficient ILU(k) factorization

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Partitioning and Blocking Issues for a Parallel Incomplete Factorization

The purpose of this work is to provide a method which exploits the parallel block-wise algorithmic approach used in the framework of high performance sparse direct solvers in order to develop robust and efficient preconditioners based on a parallel …