May 24  27, 2005 

INVITED SPEAKERSConfirmed Invited Speakers: Chris Allen. . . John Bell. . . Alan Gara. . . Roland Glowinski. . .
Chris Allen, University of Bristol, United Kingdom  Dr. Allen is leader of the Computational Aerodynamics research group at the University of Bristol, UK. His research field is the development of computational methods for fluid flow, particularly unsteady aerodynamics. Applications include steady and unsteady flow about wings and rotor blades, unsteady incompressible flows, aerodynamicstructural coupling, unsteady potential flows, highspeed combustion modelling and unsteady vortex methods. Parallel Simulation of Lifting Rotor Wakes
John Bell, Lawrence Berkeley National Laboratory, USA  Dr. Bell received his B.S. (1975) degree from the Massachusetts Institute of Technology and his M.S. (1977) and Ph.D. (1979) degrees from Cornell University, all in mathematics. He is currently a Senior Staff Scientist and Group Leader for the Center for Computational Sciences and Engineering at Lawrence Berkeley National Laboratory. Prior to joining LBNL, he held positions at the Lawrence Livermore National Laboratory, Exxon Production Research and the Naval Surface Weapons Center. Dr. Bell's research focuses on the development and analysis of numerical methods for partial differential equations arising in science and engineering. He has made contributions in the areas of finite difference methods, numerical methods for low Mach number flows, adaptive mesh refinement, interface tracking and parallel computing. He has also worked on the application of these numerical methods to problems from a broad range of fields including combustion, shock physics, seismology, flow in porous media and astrophysics. Parallel Adaptive Low Mach Number Simulation of Turbulent Combustion
Alan Gara, IBM, USA  Dr. Gara is a research staff member at the IBM T.J. Watson Research center. He is the chief system architect of the BlueGene/L supercomputer and also leads efforts in petascale computing at IBM. Dr. Gara received his Ph.D. in physics from the University of Wisconsin, Madison in 1987. He is a 1998 Gordon Bell recipient for the QCDOC machine, a custom supercomputer optimized for Quantum Chromodynamics. He joined IBM Research in 1999 and has been leading high performance computing architecture and design efforts.
Roland Glowinski, University of Houston, USA  Dr. Glowinski is the Cullen Professor of Mathematics and Mechanical Engineering at the University of Houston. In addition, he is Docent Professor of Computational and Applied Mathematics at the University of Jyvaskyla, Finland; Professor Emmeritus at the University Pierre and Marie CurIe (Paris VI), France; Adjunct Professor of Mechanical Engineering at the University of Houston; Adjunct Professor of Computational and Applied Mathmatics at Rice University. He received a B.S. in Mathematics, Physics and Chemistry from Ecole Polytechnique, Paris, France (1960), an M.S. In Electrical Engineering from Ecole Nationale Superieur des Telecommunications, Paris, France (1963) and a Ph.D. in Mathematics, University VI, Paris, France(1970). He is the recipient of numerous honors, awards and prizes, including the Knight of the French Order of the Academic Palms, Knight of the French Order of the Legion of Honor, an Elected Member of the French National Academy of Technology, the 1996 Marcel Dassault Prize from the French National Academy of Sciences, the 1988 Seymour Cray Prize, and the 2004 SIAM Von Karman Prize. He is the author of six books and more than 320 articles on scientific computing. Domain Embedding Methods for Particulate Flow
William Henshaw, Lawrence Livermore National Laboratory, USA  Dr. Henshaw is an applied mathematician in the Computational Mathematics group in the Center for Applied Scientific Computing (CASC). His research interests lie in area of the numerical solution of partial differential equations. He is a participant in the Overture project, an object oriented framework for the solution of PDEs on overlapping grids. He has worked on grid generation and the numerical solution of the NavierStokes equations. Dr. Henshaw earned his Ph.D. in Applied Mathematics from the California Institute of Technology in 1985. He also holds a B.Math. from the University of Waterloo, with a double major in Applied Mathematics and Computer Science. He joined the Lawrence Livermore Laboratory in 1998. Solving the Compressible and Incompressible NavierStokes Equations on Moving and Adaptive Overlapping Grids
Stephen Jardin, Princeton Plasma Physics Laboratory, USA  Dr. Jardin is the Principal Research Physicist and Deputy Head of the Plasma Science and Technology Department in the Princeton University Program in Plasma Physics. He is also a lecturer with Rank of Professor in the Astrophysics Department at Princeton University. His research interests include computational physics, magnetohydrodynamics and Tokamak Design. He earned his Ph.D. in Astrophysics from Princeton University (1976), an MS. in Physics and an M.S. in Nuclear Engineering from MIT (1978) and holds a B.S. in Engineering Physics from the University of California (1970). Finite Element Calculations of the Magnetohydrodynamics of Magnetic
Steven Orszag, Yale University, USA  A Percey F. Smith Professor of Mathematics, Dr. Orszag specializes in the areas of computational fluid dynamics, turbulence theory and numerical analysis. He is also noted for his work in applied mathematics, and his research has had an impact on aeronautics, weather forecasting and the electronic chip manufacturing industry. In the areas of computational fluid dynamics, he achieved the first successful computer simulations of threedimensional turbulent flows. He also developed methods that provide a fundamental theory of turbulence. Another primary research interest has been the development of techniques for the simulation of electronic chip manufacturing processes, some of which have been applied extensively throughout the industry. His accomplishments in the area of spectral methods include the introduction of fast surface harmonic transform methods for global weather forecasting and filtering techniques for shock wave problems. He earned his Ph.D. at Princeton University and his B.S. degree at the Massachusetts Institute of Technology. Some Small Ideas on the Large Turbulence Problem
Gerhard Wellein, ErlangenNürnberg University, Germany Dr. Wellein is head of the HPC group at the computing center of the University of ErlangenNuremberg. He works on performance optimization of large scale technical and scientific applications, with a special focus on methods and algorithms in CFD and many particle physics. In this context he is also studying in the interplay of the architectural concepts of modern supercomputers and application performance. As an HPC consultant he supports the procurement process for large scale supercomputer systems at different supercomputing centers in Germany. Dr. Wellein received a diploma in Physics (1994) and a Ph.D. in Physics (1998) at the University of Bayreuth (Germany). He is a member of the Bavarian Network for High Performance Computing (KONWIHR). Architecture and Performance of Terascale Computers



Last updated 04/14/2005

