Corpus ID: 50541906

Development of Parallel Climate/Forecast Models on 100 GFLOPS PARAM Computing System

@inproceedings{Purohit2001DevelopmentOP,
  title={Development of Parallel Climate/Forecast Models on 100 GFLOPS PARAM Computing System},
  author={S. Purohit and A. Kaginalkar and I. Jindani and J. V. Ratnam},
  year={2001}
}
The Climate Models T211 T42 and Forecast Models T80 I T126 are ported on the Parallel Computing system PARAM10000. The global spectral models have been parallelised on the distributed memory parallel computer with a large number of mtrasparc II processors. The accuracy I computational efficiency for the results is demonstrated and benefits of PARAM 10000 for Numerical Weather Prediction are emphasized. 

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References

SHOWING 1-9 OF 9 REFERENCES
Weather Forecasting on Parallel Architectures
  • J. Sela
  • Computer Science
  • Parallel Comput.
  • 1995
TLDR
The major numerical and physical aspects of the model are highlighted, and parallelization considerations are analyzed and applied to three parallel computer architectures. Expand
The IFS Model: A Parallel Production Weather Code
TLDR
This paper describes the shared-memory implementation of the code and the subsequent development that has been carried out in order to generate a parallel version, suitable for a scalable distributed-memory architecture with many processors. Expand
Global spectral medium range weather forecasti ng model on PARAM
This paper describes the experience gained while parallelizing the global medium range weather forecasting application called TSO on a PARAM machine based on a distributed memory parallelExpand
PCCM2: A GCM adapted for scalable parallel computers
TLDR
The authors review the various parallel algorithms used in PCCM2 and the work done to arrive at a validated model. Expand
Simulation of a winter circulation over India using a global spectral model
A primitive equation spectral model has been successfully integrated for five days starting with the initial data of 26 February 1982. The geopotential heights and wind strengths are well predictedExpand
Self-sorting mixed-radix fast Fourier transforms
Abstract Some examples are given of the uses of the FFT algorithm in numerical weather prediction. The algorithm is derived by means of matrix factorization, in such a way that the many possibleExpand
Development of Parallel Climate Model on P ARAM Open Frame
  • Development of Parallel Climate Model on P ARAM Open Frame
  • 1997
Development and Implementation of Parallel Numerical Weather Prediction Algorithm on PARAM
  • Development and Implementation of Parallel Numerical Weather Prediction Algorithm on PARAM
  • 1994