C3.CA: The State of Our Union

  • Andrew Pollard
Part of the The Kluwer International Series in Engineering and Computer Science book series (SECS, volume 657)


In this talk, I review some of the history of, what are and how we propose to meet our challenges and to give examples of expected benefits. As you can imagine, in a computational environment that is as fluid as ours, what the future actually holds maybe different to what I suggest here.


Computational Fluid Dynamic Large Eddy Simulation Experimental Fluid Dynamics Information Technology Infrastructure High Performance Computing System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. Autonomy Corporation, URL: R. C. Devoll (2000), “Blueprint for a High-Tech Cluster-the case of the microsystems industry in the Southwest”, Policy Brief, Milken Institute,
  2. S. McIlwain, A. Pollard and S. Amalfi (2000), “The Hidden Structure of a Round Jet”, Proceedings, Science and Art Symposium, Zurich, Gyr, Koumoutsakos and Burr  (eds.), pp79–84, Kluwer Academic Publishers, Dordrecht.CrossRefGoogle Scholar
  3. Approximate computational needs to conduct Direct and Large Eddy Simulations, adapted from Reynolds (1990).Google Scholar
  4. W.C. Reynolds (1990), “The Potential and Limitations of Direct and Large Eddy Simulations”, in Whither Turbulence? Turbulence at the Crossroads, Lumley (ed), pp313–343, Volume 357, Lecture Notes in Physics, Springer Verlag, Heidelberg.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2002

Authors and Affiliations

  • Andrew Pollard
    • 1
  1. 1.Department of Mechanical Engineering, Computational and Experimental Fluid Dynamics LaboratoryQueen’s University at KingstonCanada

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