Research

My research interests are mainly focused around High Performance Computing for linear algebra. I started by studying sparse direct solvers during my PhD Thesis, before moving to dense linear algebra field during my post doctoral position. My concerns are focused on exploiting in the most efficient way the modern heterogeneous and distributed architectures present in today’s clusters with linear algebra algorithms.

Current Research Projects

ANR SaSHiMi 2019-2022 ANR Dedales 2014-2018: it aims at developing high performance software for the simulation of two phase flow in porous media. The project will specifically target parallel computers where each node is itself composed of a large number of processing cores, such as are found in new generation many-core architectures. ANR Solhar 2013-2017: …

Softwares

Dense Linear Algebra PLASMA The Parallel Linear Algebra for Scalable Multi-core Architectures (PLASMA) project aims to address the critical and highly disruptive situation that is facing the Linear Algebra and High Performance Computing community due to the introduction of multi-core architectures. MAGMA The MAGMA project aims to develop a dense linear algebra library similar to …