• Address
• Research Interests
• Some Projects/Software
• Publications

Present address

Research Interests

• Sparse direct solvers
• High-performance computing

Some Projects/Software

• MUMPS : MUltifrontal Massively Parallel Solvers for symmetric and unsymmetric complex/real sparse matrices


• MUMPS 4.9 is available.
• Recent features include: out-of-core, improved numerical features for symmetric indefinite matrices, improved performance with respect to time and memory, orderings on compressed graphs, distributed Schur, multiple right hand-sides, sparse multiple right-hand sides, distributed solution.
• User's guide MUMPS 4.9.2 (Nov 2009) ( postscript / pdf formats)
• Authors and Related publications

• ADT MUMPS, 3 years (2009-2012):
  ADTMUMPS is an action of technological development funded by INRIA. This project gives support for 24 men x months of young engineer (``ing\'enieur jeune dipl\^{o}m\'e''). A permanent engineer from INRIA/SED also works on the project (Maurice Br\'emond, 30 \% on the project). One goal of the project is to improve daily work of MUMPS developers by improving the software engineering aspects, by developing non-regression tests and drivers to experiment the package.

• GRID TLSE (2002-):
  This project was initially (2002-2005) funded by the ACI GRID. It consists of a Web portal for expertise on sparse matrices, including software and databases, as well as bibliography and collections of sparse matrices. Using the DIET middleware, users can submit requests of expertise for the solution of sparse systems of linear equations. For example a typical request might be "which sparse matrix reordering heuristic leads to the smallest number of operations for my matrix ?", or "which software is the most robust for this test problem ?" The project is coordinated by ENSEEIHT-IRIT (Toulouse, France).

• SOLSTICE (ANR-06-CIS6-010, 2007-2010)
  (SOLveurs et SimulaTIon en Calcul Extrême)
  The objective of this project is to design and develop high-performance parallel linear solvers that will be efficient to solve complex multi-physics and multi-scale problems of very large size (10 to 100 millions of equations). This project also comprises LaBRI (coordinator), CERFACS, INPT-IRIT, CEA-CESTA, EADS-CCR, EDF R&D, and CNRM. I am involved in tasks related to out-of-core factorization and solution, parallelization of the analysis phase of sparse direct solvers, rank detection, hybrid direct-iterative methods and expertise site for sparse linear algebra.

• France-Berkeley funded project (2008-), Scalable Sparse Linear Equation Solvers on Emerging Petascale Computers (CERFACS, INRIA, INPT-IRIT, Lawrence Berkeley National Lab).

• SEISCOPE (2006-2008) I am collaborating with the SEISCOPE consortium, which focuses on wave propagation problems and seismic imaging. The use of sparse direct solvers such as MUMPS is challenging given the size of the problems involved. The SEISCOPE project is supported by ANR (Agence National de la Recherche in France) and by BP, CGG, SHELL and TOTAL.

• NSF-INRIA Project(2001-2003): Robust parallel preconditioning methods: bridging the gap between direct and iterative solvers.
  

• EGIDE-AURORA Project(2005): The impact of advanced reordering techniques on state-of-the-art solution methods for sparse linear systems of equations.
With Jacko Koster (BCCS, PARALLAB, University of Bergen). This project also involves Abdou Guermouche (PHD student at ENS Lyon), as well as Patrick Amestoy (ENSEEIHT-IRIT, Toulouse, France), and Stéphane Pralet and Luc Giraud (while at CERFACS, Toulouse, France).

• Fédération Lyonnaise de Calcul Haute Performances