Participants - Mission pour la Science et la Technologie

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					Last name Biros

First name George

Affiliation University of Pennsylvania

Department of Mathematics, Penn State University Brannick James Computational Earth Sciences Group, Oak Ridge National Laboratory Department of Mathematics, New York University Griffith Boyce CCIM, Sandia National Laboratories Hill Judith Mathematics and Computer Science Division, Argonne National Laboratory Scientific Computing Group, Center for Computational Sciences, ORNL Computational Earth Sciences Group, Oak Ridge National Laboratory Computational Mathematics Group, Oak Ridge National Laboratory Mathematics Department, University of California, San Diego University of California at Merced Tokman Mayya
Projet MOISE INRIA Laboratoire MIP (Mathématiques pour l'Industrie et la Physique Université Paul Sabatier Toulouse 3 F-31062 TOULOUSE Cedex 9 France (UMR 6625 CNRS/MPPU) IRMAR Équipe Analyse Numérique et EDP ENS Cachan Bretagne, CNRS, UEB Avenue Robert Schumann F-35170 BRUZ








Richard Tran









Campos Pinto




Chargé de recherche CNRS Institut de Recherche Mathématique Avancée (UMR 7501 / CNRS/MPPU), Université Louis Pasteur 7, rue René Descartes Institut de Mathématiques de Bordeaux (UMR 5251 MPPU) Université Bordeaux 1 351, cours de la Libération F-33405 Talence cedex

INRIA équipe-projet Grand-Large Grigori Laura
Laboratoire de Spectrométrie Physique (UMR 5588 CNRS/UJF) Université Joseph Fourier -- Grenoble I, B. P. 87 38402 Saint Martin d'Hères, France



Centrale Paris Magoules Frédéric
Laboratoire de Mathématiques Appliquées de Compiègne Equipe d'accueil 2222 Université de Technologie de Compiègne Département Génie Informatique Centre de Recherches de Royallieu - Universite Paris VII / Laboratoire MSC (UMR 7057 ST2I) CNRS Case courrier 7056, Bâtiment Condorcet 10 rue Alice Domon et Léonie Duquet, F-75205 Paris cedex 13 Mathématiques, CNRS/MPPU UMR 5251 Institut de Bureau 268 & INRIA Futurs, projet MC2 Université Bordeaux 1 351 cours de la Libération 33405 TALENCE cedex , Ceremade (UMR 7534 MPPU) Universite Paris-Dauphine Bureau B520, Universite Paris-Dauphine, Ceremade, Place du Marechal Lattre de Tassigny, 75775 Paris, France









CERFACS - CFD Team Staffelbach Gabriel
Laboratoire Jacques-Louis Lions (UMR 7598 MPPU) Université Pierre et Marie Curie (Paris 6) 175 rue du Chevaleret 75013 Paris FRANCE Mathématiques de Toulouse UMR 5219 MPPU Institut de Université Paul-Sabatier (Toulouse III) 31062 Toulouse, Cedex 9 FRANCE





Specialty Parallel algorithms for particulate creeping flows (octrees, integral equations, fast summation, nonlinear fluid-structure interactoni) Parallel algorithms for inverse problems (PDEs Quantum chromodynamics

Atmospheric science


Katherine (Kate) Evans received a B.S. in physics from Haverford College and an M.S. and Ph.D. in atmospheric science from Georgia Tech. She recentlyGriffith came to the Courant Boyce finished a postdoc at Los

Biography George Biros is an assistant professor in Mechanical Engineering and Applied Mechanics, and Computer and Information Science Dr. James Brannick received his PhD in Applied Mathematics from the University of Colorado, Boulder. His dissertation focused primarily on

contaminant transport

radiation transport

Dr. Hill graduated from Carnegie Mellon University in 2004 with a Ph.D. in Computational Science and Engineering. While at CMU, she was a recipient of National Science Dr. Kaushik is a computational

Institute of Mathematical Sciences at New York University in Fall 2000 as

subsurface flows

plasma physics

astrophysics (Frederick A. Howes Scholar)

Didier Auroux received the B.Sc. and M.Sc. degrees in mathematics from the Ecole Normale Superieure de Lyon, France, in 1998 and 2000 respectively. In3, 1976, Calais, France Born: October 2003, he received his Since 2004: researcher (CR2) at the CNRS, IRMAR at Rennes, France 2001- 2003: Ph D, Université Paris-Sud, Orsay, France

scientist at Argonne National Laboratory. His research interests are in scalable algorithm Bronson Messer is a staff member in the Scientific Computing Group at the National Center for Computational Sciences and the Richard Tran Mills is a computational scientist at Oak Ridge National Laboratory (ORNL), where he is a Dr. Sreekanth Pannala is a research staff member in the Computer Science and Mathematics Division at Oak Ridge National Laboratory. Daniel R. Reynolds received his Ph.D. from the Department of Computational and Applied Mathematics at Rice University in Mayya Tokman is an assistant professor of applied mathematics and a member of the founding faculty of the new campus of the

Large Eddy Simulation of Combustion, High performance computing

numerical analysis; mathematical modeling, scientific calculation

After a PhD completed in the University Pierre et Marie Curie of Paris and a post-doc position at the RWTHAachen University, I am presently at the Ecole Centrale de I made a PhD employed by the Lyon under the direction of M. Marion and V. Volpert. For two years have been an assistant professor at the University of Bordeaux 2, where I are in Laura Grigori's research interests work numerical linear algebra and high performance computing for scientific applications. In particular she is interested in sparse matrix Since September 2005, Assistant Professor in Applied Mathematics at Université Joseph Fourier -- Grenoble I. 2004-2005 : Postdoctoral researcher at INRIA Rocquencourt Professor at Ecole Frederic Magoules is Centrale Paris, leading the High Performance Computing group at the Applied Mathematics and Systems laboratory. Frederic Magoules received PhD in Applied Maths (INRIA Rocquencourt) : "Multidomain simulations of flow in porous media". Modeling of flow in porous fractured media, parallel simulation ofcursus ofin He made the mathematical 3D flow the Ecole Normale Superieure in Cachan and carried on there with his Phd in the Centre de Mathematiques et de After entering the Ecole Normale Supérieur (Cachan), Olivier Saut did his Master Degree (DEA) in the University of Orsay about 'Partial Differential Equations and Scientific Computing'. Julien Salomon´s main works deal with conception and analysis of numerical methods for Quantum. Three axis have been developed: conception of a class of time-discretized optimization methods Gabriel Staffelbach obtained his Engineering degree in 2002 from the Ecole Centrale Marseille (formerly ESM2, France). During his Phd, obtainedMay 22, 1977, Pardubice, Born on from the Institut Polytechnique Czech Republic. Ph.D. Czech Technical University in Prague & University Paris 11 - South. Postdoctoral fellow of the French National Center for Scientific Marcela Szopos is an Assistant Professor in the Institut de Mathématiques de Toulouse at Université Paul Sabatier, France. Her research interests include topics from

Highlights of presentation I will discuss " Fast algorithms for simulations of the dynamics of thousands of deformable vesicles in viscous fluids" I will also have a few slides on: "HPC and Applied I will briefly introduce QCD and the numerical model thereof coming from Wilson's discretization on a lattice. Then, I will present the difficulties encountered in attempting to invert the discretized Dirac operator as part of a Monte Carlo evaluation

The issue of temporal error is explored within a Gallium melting simulation using solution methods with varying convergence parameters. Increasing discrepancies in the vorticity field over time illustrates the accuracy constraints of mass balance and first order nonlinear convergence methods. A quantitative assessment of A parallel and adaptive immersed boundary method for

simulating cardiac fluid dynamics
Large-scale numerical simulations are useful not only for providing insight into scientific questions but also for providing a scientific basis for decision-making. Often these decisions can be posed as a constrained optimization question: What is the optimal choice of model parameter d that produces the desired output u while still Presentation Title: High Fidelity Simulation of Fast Nuclear

The immersed boundary method is a general approach to

Reactor Cores Presentation Summary: The research agenda put forward by "Petascale Supernova Simulation With CHIMERA" There exists a class of scientific problems whose ultimate answer requires the application of petascale (and beyond) Predictive modeling of subsurface reactive flows is a daunting task because of the wide range of spatial scales involved--from the pore scale to the field Gas-solid chemically reacting flows are omnipresent in many multiphase flow reactors in various industries like Chemical, Fossil and Nuclear. The challenging aspect of modeling these reacting flows are the wide range of both temporal and spatial I plan to introduce the resistive MHD model for magneticallyconfined fusion plasmas, including some of the limits to its validity and model My research interests include scientific computing, mathematical modeling, and numerical analysis with applications in astrophysical and laboratory plasma physics and cell biology. I have been developing new exponential

Data assimilation of velocity fields coming from image processing.

We are interested in the assimilation of satellite images, within the framework of data assimilation in geophysical systems. Based on optical Superconductivity in domains with corners. This presentation is devoted to computations of eigenmodes for the Schrödinger operator with constant magnetic field in a domain with corners, as a parameter $h$ tends to $0$. The eigenvectors corresponding to the smallest eigenvalues have a two-scale

In my talk I will briefly present some new results, both theoretical and computational, and explain how they are connected with the global issue of designing efficient solvers for time dependent PDEs. The first result Invasive species with pathogens. How to slow down an invasive wave front? Summary: This work is devoted to the study of a singular reaction-diffusion system arising in modelling the introduction of a pathogen within an invading host population. In absence of to design linear algebra algorithms that minimize thea Our goal is the pathogen the host population dynamics exhibits cost of communication. Technology trends predict that arithmetic will continue to improve exponentially faster than bandwidth, and bandwidth exponentially faster than latency. We describe new algorithmsInterests : Numerical costs for dense and sparse linear Research that minimize these Analysis and Scientific Computing * keywords : Numerical Simulation of Complex fluids *Abstract : Distributed Algorithms based on Domain Decomposition Parallel and Methods and their Applications to Computational Mechanics Abstract: --------Modelling of a stent in blood flow as a resistive porous interface *Abstract* We present a model of porous interface that acts as a resistivity in a Navier-Stokes flow. In order to reduce the blood flow in a terminal aneurysm, an approach under development consists in introducing a The red blood cells or erythrocytes are biconcave shaped cells and consist mostly in a membrane delimiting a cytosol with a high concentration in hemoglobin. This membrane is highly deformable and allows talk,cellspresent a multiscale model for avascularcapillaries In this the we to go through narrow passages like the tumor growth (which is the first stage of a cancer development) and its numerical study in twoand three dimensions. For this purpose, we use a multiscale model using PDEs to describe the evolution of the tumor cell encouraging experimental results in quantumcycle (the set Following densities. These equations describe the cell control, numerical simulations have known significant improvements through the introduction of efficient optimization al- gorithms. Yet, the computational cost still prevents using these procedures for highdimensional systems often present in quantum is progressing at a Large Eddy simulation (LES) of reacting flows chemistry. Using staggering rate thanks to massively parallel computation. Recent advances in LES of combustion in industrial gas turbines will be presented. The code performance on 5 of the top 20 computers in the world in 2006 will be discussed andnumerical approximation be Optimal a posteriori error estimation in present HPC issues will of elliptic partial differential equations We present a posteriori estimates on the error in numerical approximation of second-order elliptic partial aorta as a threeThis work aims at modeling blood flow in the differential equations in dimensional strongly coupled fluid-structure process. Blood is assumed to be a homogeneous, incompressible, Newtonian fluid, described by the Navier-Stokes equations in Arbitrary EulerianLagrangian formulation. The arterial wall is modeled as a

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