The parallel ordering of large graphs is a difficult problem, because on the one hand
minimum degree algorithms do not parallelize well, and on the other hand the obtainment of …

We present finite-element numerical simulations of seismic wave propagation in non linear
inelastic geological media. We demonstrate the feasibility of large-scale modeling based on …

Parallel computing is widely used for large scale three-dimensional simulation of seismic
wave propagation. One particularity of most of these simulations is to consider a finite …

The current trend in the high performance computing shows a dramatic increase in the
number of cores on the shared memory compute nodes. Algorithms, especially those related …

We describe an efficient and innovative parallel tiled algorithm for solving symmetric
indefinite systems on multicore architectures. This solver avoids pivoting by using a …

Parallel sparse LU factorization is a key computational kernel in the solution of a large-scale
linear system of equations. In this paper, we propose two strategies to address some …

Les nouvelles architectures de calcul intensif intègrent de plus en plus de microprocesseurs
qui eux-mêmes intègrent un nombre croissant de cœurs de calcul. Cette multiplication des …

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 …

Over the past few years, parallel sparse direct solvers have made significant progress. They
are now able to solve efficiently real-life three-dimensional problems with several millions of …

In this" Habilitation à Diriger des Recherches"(HDR), we present our research in high-
performance scientific computing over the recent years. Our work has been mainly related to …