Parallel Computational Fluid Dynamics '97

1st Edition

Recent Developments and Advances Using Parallel Computers

Editors: D. Emerson P. Fox N. Satofuka A. Ecer Jacques Periaux
Hardcover ISBN: 9780444828491
eBook ISBN: 9780080538372
Imprint: North Holland
Published Date: 17th April 1998
Page Count: 681
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Computational Fluid Dynamics (CFD) is a discipline that has always been in the vanguard of the exploitation of emerging and developing technologies. Advances in both algorithms and computers have rapidly been absorbed by the CFD community in its quest for more accurate simulations and reductions in the time to solution. Within this context, parallel computing has played an increasingly important role. Moreover, the uptake of parallel computing has brought the CFD community into ever-closer contact with hardware vendors and computer scientists. The multidisciplinary subject of parallel CFD and its rapidly evolving nature, in terms of hardware and software, requires a regular international meeting of this nature to keep abreast of the most recent developments.

Parallel CFD '97 is part of an annual conference series dedicated to the discussion of recent developments and applications of parallel computing in the field of CFD and related disciplines. This was the 9th in the series, and since the inaugural conference in 1989, many new developments and technologies have emerged. The intervening years have also proved to be extremely volatile for many hardware vendors and a number of companies appeared and then disappeared. However, the belief that parallel computing is the only way forward has remained undiminished. Moreover, the increasing reliability and acceptance of parallel computers has seen many commercial companies now offering parallel versions of their codes, many developed within the EC funded EUROPORT activity, but generally for more modest numbers of processors. It is clear that industry has not moved to large scale parallel systems but it has shown a keen interest in more modest parallel systems recognising that parallel computing will play an important role in the future. This book forms the proceedings of the CFD '97 conference, which was organised by the the Computational Engineering Group at Daresbury Laboratory and held in Manchester, England, on May

Table of Contents

Invited Papers. Adaptive Schemes. A generic strategy for dynamic load balancing of distributed memory parallel computational mechanics using unstructured meshes (A.Arulananthan et al.). Communication cost function for parallel CFD using variable time stepping algorithms (Y.P. Chien et al.). Dynamic load balancing for adaptive mesh coarsening in computational fluid dynamics (T. Gutzmer). A parallel unstructured mesh adaptation for unsteady compressible flow simulations (T. Kinoshita, O. Inoue). A fully concurrent DSMC implementation with adaptive domain decomposition (C.D. Robinson, J.K. Harvey). Parallel dynamic load-balancing for the solution of transient CFD problems using adaptive tetrahedral meshes (N. Touheed et al.). Parallel dynamic load-balancing for adaptive unstructured meshes (C.Walshaw et al.). Combustion and Reactive Flows. Convergence and computing time acceleration for the numerical simulation of turbulent combustion processes by means of a parallel multigrid algorithm (A. Bundschuh et al.). Coupling of a combustion code with an incompressible Navier-Stokes code on MIMD architecture (G. Edjlali et al.). Parallel simulation of forest fire spread due to firebrand transport (J.M. McDonough et al.). Association of European Research Establishments in Aeronautics Special Session. Comparisons of the MPI and PVM Performances by using structured and unstructured CFD codes (E. Bucchignani et al.). Three-dimensional simulation on a parallel computer of supersonic coflowing jets (O. Louedin, J. Ryan). Navier-Stokes algorithm development within the FAME mesh environment (S.H. Onslow et al.). Partitioning and parallel development of an unstructured, adaptive flow solver on the NEC-SX4 (H. van der Ven, J.J.W. van der Vegt). Distributed Computing. Parallel workstation clusters and MPI for sparce systems in computation


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About the Editor

D. Emerson

Affiliations and Expertise

Daresbury Laboratory, Daresbury, Warrington, WA4 4AD, Cheshire, UK

P. Fox

Affiliations and Expertise

Purdue School of Engineering and Technology, 799 West Michigan Street, Indianapolis, IN 46202-5160, USA

N. Satofuka

Affiliations and Expertise

Kyoto Institute of Technology, Matsugasaki, Sakuo-ku, Kyoto 606-8585, Japan

A. Ecer

Affiliations and Expertise

Indiana University Purdue, University Indianapolis, Purdue University School of Engineering, Indianapolis, IN 46202, USA

Jacques Periaux

Affiliations and Expertise

Dassault-Aviation, Saint-Cloud, France