Parallel Computational Fluid Dynamics 2008: Parallel Numerical Methods, Software Development and Applications

Parallel CFD 2008, the twentieth in the high-level international series of meetings featuring different aspect of parallel computing in computational?uid dynamics and other modern scienti?c domains was held May 19?22, 2008 in Lyon, France. The themes of the 2008 meeting included the traditional emphases of this c- ference, and experiences with contemporary architectures. Around 70 presentations were included into the conference program in the following sessions: Parallel Algorithms and solvers Parallel performances with contemporary architectures Structured and unstructured grid methods, boundary methods software framework and components architecture CFD applications(Bio ?uid, environmentalproblem)Lattice Boltzmannmethodand SPH Optimisation in Aerodynamics This book presents an up-to-date overviewof the state of the art in Parallel C- putational Fluid Dynamics from Asia, Europe, and North America. This reviewed proceedingsincluded about sixty percent of the oral lectures presented at the conf- ence. The editors. VI Preface Parallel CFD 2008 was organized by the Institut Camille Jordan of the Univ- sity of Lyon 1 in collaboration with the Center for the Development of the Parallel Scienti?c Computing. The Scienti?c Committee and Local Organizers of Parallel CFD 2008 are - lighted to acknowledge the generous sponsorship of the following organizations, through ?nancial or in-kind assistance. Assistance of our sponsors allowed to - ganize scienti?c as well as social program of the conference.

This book collects the proceedings of the Parallel Computational Fluid Dynamics 2008 conference held in Lyon, France. Contributed papers by over 40 researchers representing the state of the art in parallel CFD and architecture from Asia, Europe, and North America examine major developments in (1) block-structured grid and boundary methods to simulate flows over moving bodies, (2) specific methods for optimization in Aerodynamics Design, (3) innovative parallel algorithms and numerical solvers, such as scalable algebraic multilevel preconditioners and the acceleration of iterative solutions, (4) software frameworks and component architectures for parallelism, (5) large scale computing and parallel efficiencies in the industrial context, (6) lattice Boltzmann and SPH methods, and (7) applications in the environment, biofluids, and nuclear engineering.