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Parallel Computational Fluid Dynamics "92

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Published by North-Holland .
Written in English


  • Computer modelling & simulation,
  • Fluid mechanics,
  • Mathematical theory of computation,
  • Parallel Processing,
  • Supercomputers,
  • Engineering Fluid Mechanics,
  • Science,
  • Technology & Industrial Arts,
  • Science/Mathematics,
  • Hydraulics,
  • Environmental Science,
  • Congresses,
  • Data processing,
  • Fluid dynamics,
  • Parallel processing (Electroni,
  • Parallel processing (Electronic computers)

Book details:

Edition Notes

ContributionsJ. Hauser (Editor)
The Physical Object
Number of Pages438
ID Numbers
Open LibraryOL10261349M
ISBN 100444899863
ISBN 109780444899866

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  At the 19th Annual Conference on Parallel Computational Fluid Dynamics held in Antalya, Turkey, in May , the most recent developments and implementations of large-scale and grid computing were presented. This book, comprised of the invited and selected papers of this conference, details those advances, which are of particular interest to CFD and CFD . Parallel Computational Fluid Dynamics: May , Nice, FRANCE: General ParCFD Information Includes: contacts, planning committee, submission criteria, bibliographies of past conferences. Past Conferences 2 0 1 9 Antalya, Turkey 2 . Get this from a library! Parallel computational fluid dynamics ' proceedings of the Conference on Parallel CFD ' implementations and results using parallel computers, New Brunswick, NJ, USA, May, [R B Pelz; Akin Ecer; J Häuser;]. This book covers just about every aspect Computational Fluid Dynamics. The fact that a single author could master such a range of topics and articulate them clearly is truly remarkable. Yet, I can't recommend this book. I bought it with high hopes in , eager to broaden my knowledge beyond the finite volume method and SIMPLE algorithm/5(8).

Publisher Summary. Solving computational fluid-dynamics problems requires computers of very fast computation speed and large memory space. The measurement of communication time on an Ethernet network during parallel CFD is a difficult problem because of the random nature of message-passing and collision-handling protocol. Computational fluid dynamics (CFD) is a branch of fluid mechanics that uses numerical analysis and data structures to analyze and solve problems that involve fluid ers are used to perform the calculations required to simulate the free-stream flow of the fluid, and the interaction of the fluid (liquids and gases) with surfaces defined by boundary conditions. This book constitutes the refereed proceedings of the 25th International Conference on Parallel Computational Fluid Dynamics, ParCFD , held in Changsha, China, in May The 35 revised full papers presented were carefully reviewed and . This book collects the proceedings of the Parallel Computational Fluid Dynamics 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 .

Computational Fluid Dynamics (CFD) is one of the most important applications areas for high-performance computing, setting the pace for developments in scientific computing. Anyone who wants to design a new parallel computer or develop a new software tool must understand the issues involved in CFD in order to be demands of CFD, particularly in the . Preface Parallel CFD conference was held in Busan city, Korea, from May 15 to 18, It was the eighteenth conference in an international series of meetings featuring computational - Selection from Parallel Computational Fluid Dynamics [Book]. This book contains the papers presented at the Parallel Computational Fluid Dynamics Conference. The book is focused on new developments and applications of parallel technology. Key topics are introduced through contributed papers and invited lectures. These include typical algorithmic developments, such as: distributed computing, domain Format: Hardcover.   Description; Chapters; Supplementary; This meeting addresses all aspects of computational methodology with applications to most branches of physics, especially massively parallel computing, symbolic computing, Monte Carlo simulations of quantum systems, neuro-computing, fluids and plasmas, physics education, mesoscopic physics, dynamical systems, .