Using Ppp to Parallelize Operational Weather Forecast Models for Mpps

نویسندگان

  • Mark W. Govett
  • Adwait Sathye
  • James P. Edwards
  • Leslie B. Hart
چکیده

The Parallelizing Preprocessor is being developed at the Forecast Systems Laboratory (FSL) to simplify the process of parallelizing operational weather prediction models for Massively Parallel Processors (MPPs). PPP, a component of FSL's Scalable Modeling System, is a Fortran 77 text analysis and translation tool. PPP directives, implemented as Fortran comments, are inserted into the source code. This code can be run as the legacy software or be processed by PPP whenever a parallel version of the code is required. PPP is being used to parallelize the United States Naval Research Laboratory's (NRL's) Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS). This paper will describe the PPP tool and present several code examples highlighting its use.

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تاریخ انتشار 2007