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Improving the Effectiveness of U.S. Climate Modeling (2001) / Chapter Skim
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Appendix I: Description of Different Codes
Pages 121-124

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From page 121...
... The ECMWF's IFS code is a parallel spectral weather model that is also used for seasonal climate prediction. Its structure is similar to climate codes from NCAR, including CCM, but its parallel execution model is highly evolved.
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From page 122...
... 122 ~ ' CE ~ ; ~ Bo o ~ _~a -I- - 1 1 ' I ' 1 ' ' Ace, i..
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From page 123...
... The actual performance of real weather and climate codes support our contention that currently Japanese parallel vector supercomputers significantly outperform American-manufactured MPPs based upon microprocessor technology. If VPPs are not available, it is more difficult to get good performance.
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From page 124...
... Although this hybrid programming model adds another layer of complexity, it offers a useful path to parallelism if it can be efficiently implemented. For example, rather than doing two-dimensional domain decomposition in longitude and latitude, with the hybrid model one might decompose and use MPI only in latitude while treating parallelism in longitude with threads spread across the processors on each node.
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Key Terms

  • uniform memory
  • weather models
  • times faster
  • sustained rates
  • programming model

  • memory access
  • climate codes
  • vector processors
  • german weather
  • parallel execution

  • highly parallel
  • fast vector
  • hybrid programming
  • spectral weather
  • aggregate performance

  • model adds
  • processors exceeds
  • simulated time
  • penn state
  • treating parallelism

  • microprocessor speed
  • useful path
  • openmp threads
  • loop indices
  • mesoscale model

  • execute nearly
  • parallel vector
  • japanese parallel
  • subroutine calls
  • evolving standard


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