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Parallel Computation in Mechanics

  • Gary M. Johnson

Abstract

The success of numerical simulation as an independent approach to the solution of engineering problems requires computing capability far exceeding that which is presently available. In this paper, the computing requirements posed by challenging problems in mechanics are examined and contrasted with contemporary supercomputer resources. Of the means available to help fill the gap between the demands of scientific computation and the performance level of present-generation supercomputer systems, parallel processing appears to have the greatest potential for near-term success. Typical parallel computer architectures are reviewed and categorized. Philosophies of parallel processing are distinguished by the number and size of the parallel tasks which they employ. Selected engineering problems are examined for parallelism inherent at the physical level. Typical algorithms and their mappings onto parallel architectures are discussed. Computational examples are presented to document the performance of scientific applications on present-generation parallel processors. Projections are made concerning future algorithms and machine architectures.

Keywords

Parallel Processing Parallel Architecture Parallel Processor Processor Figure Synchronization Overhead 
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

© Plenum Press, New York 2011

Authors and Affiliations

  • Gary M. Johnson
    • 1
  1. 1.San Diego Supercomputer CenterSan DiegoUSA

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