Parallel Computational Fluid Dynamics '99

Released on by D. Keyes
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  • Parallel Computational Fluid Dynamics '99 Book Detail

  • Author : D. Keyes
  • Release Date : 2000-10-18
  • Publisher : Elsevier
  • Genre : Mathematics
  • Pages : 477
  • ISBN 13 : 008053838X
  • File Size : 55,55 MB
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Parallel Computational Fluid Dynamics '99 by D. Keyes PDF Summary

Book Description: Contributed presentations were given by over 50 researchers representing the state of parallel CFD art and architecture from Asia, Europe, and North America. Major developments at the 1999 meeting were: (1) the effective use of as many as 2048 processors in implicit computations in CFD, (2) the acceptance that parallelism is now the 'easy part' of large-scale CFD compared to the difficulty of getting good per-node performance on the latest fast-clocked commodity processors with cache-based memory systems, (3) favorable prospects for Lattice-Boltzmann computations in CFD (especially for problems that Eulerian and even Lagrangian techniques do not handle well, such as two-phase flows and flows with exceedingly multiple-connected demains with a lot of holes in them, but even for conventional flows already handled well with the continuum-based approaches of PDEs), and (4) the nascent integration of optimization and very large-scale CFD. Further details of Parallel CFD'99, as well as other conferences in this series, are available at http://www.parcfd.org

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Parallel Computational Fluid Dynamics '99

Parallel Computational Fluid Dynamics '99

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Contributed presentations were given by over 50 researchers representing the state of parallel CFD art and architecture from Asia, Europe, and North America. Ma

Parallel Computational Fluid Dynamics 2000

Parallel Computational Fluid Dynamics 2000

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Parallel CFD 2000, the Twelfth in an International series of meetings featuring computational fluid dynamics research on parallel computers, was held May 22-25,

Parallel Computational Fluid Dynamics '96

Parallel Computational Fluid Dynamics '96

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In the last decade parallel computing has been put forward as the only computational answer to the increasing computational needs arising from very large and co