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Parallel Object-Oriented Scientific Computing Today

  • Kei Davis
  • Jörg Striegnitz
Conference paper
  • 189 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3013)

Abstract

High-performance scientific computing is arguably of greater importance than heretofore in the history of computing. Traditionally used primarily in support of fission- and fusion bomb design and weather forecasting, numerically-intensive applications running on massively parallel machines may be found modeling any number of natural phenomena from the smallest scale to the largest—from nuclear dynamics to the formation and evolution of the universe—as well as for the design of human artifacts—automobiles, aircraft, internal combustion engines, pharmaceuticals—the list seems endless. With the announcement of the Japanese Earth Simulator—a machine ostensibly designed expressly for global environmental modeling—and subsequent announcements by other institutions and governments of intents to build comparable machines for similar purposes, it is arguable that such simulations will be the primary consumer of supercomputing capacity worldwide.

Keywords

Object Oriented Human Artifact Expression Template High Performance Computing Application Global Environmental Modeling 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Kei Davis
    • 1
  • Jörg Striegnitz
    • 2
  1. 1.Los Alamos National LaboratoryAlgorithms, Modeling, and Informatics Group CCS-3Los AlamosUSA
  2. 2.Central Institute for Applied Mathematics (ZAM)Forschungszentrum Jülich GmbHJülichGermany

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