My research focus is on developing and optimizing numerical methods for efficient high-performance computing. In particular, I am interested in sparse linear algebra, iterative and asynchronous methods, Krylov solvers, and parallel preconditioning methods. I also work on fault tolerance, energy efficiency, as well as GPU computing. I am part of the CUDA Center of Excellence, and involved in the projects BEAST and MAGMA, where I in particular contribute functionalities for sparse linear algebra. I am the managing lead of the Ginkgo numerical linear algebra package. Within the Exascale Computing Project, I am part of the effort "Production-ready, Exascale-Enabled, Krylov Solvers (PEEKS) for Exascale Computing".

Major Cooperations

Marc Baboulin, University of Paris-Sud