Parallel implementation, validation, and performance of MM5

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We describe a parallel implementation of the nonhydrostatic version of the Penn State/NCAR Mesoscale Model, MM5, that includes nesting capabilities. This version of the model can run on many different massively Parallel computers (including a cluster of workstations). The model has been implemented and run on the IBM SP and Intel multiprocessors using a columnwise decomposition that supports irregularly shaped allocations of the problem to processors. This stategy will facilitate dynamic load balancing for improved parallel efficiency and promotes a modular design that simplifies the nesting problem AU data communication for finite differencing, inter-domain exchange of data, and I/O is ... continued below

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12 p.

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Michalakes, J.; Canfield, T.; Nanjundiah, R.; Hammond, S. & Grell, G. December 31, 1994.

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Description

We describe a parallel implementation of the nonhydrostatic version of the Penn State/NCAR Mesoscale Model, MM5, that includes nesting capabilities. This version of the model can run on many different massively Parallel computers (including a cluster of workstations). The model has been implemented and run on the IBM SP and Intel multiprocessors using a columnwise decomposition that supports irregularly shaped allocations of the problem to processors. This stategy will facilitate dynamic load balancing for improved parallel efficiency and promotes a modular design that simplifies the nesting problem AU data communication for finite differencing, inter-domain exchange of data, and I/O is encapsulated within a parallel library, RSL. Hence, there are no sends or receives in the parallel model itself. The library is Generalizable to other, similar finite difference approximation codes. The code is validated by comparing the rate of growth in error between the sequential and parallel models with the error growth rate when the sequential model input is perturbed to simulate floating point rounding error. Series of runs on increasing numbers of parallel processors demonstrate that the parallel implementation is efficient and scalable to large numbers of processors.

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12 p.

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OSTI as DE95012399

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  • 6. workshop on use of parallel processors in meterology, Reading (United Kingdom), 24 Nov 1994

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  • Other: DE95012399
  • Report No.: ANL/MCS/CP--85860
  • Report No.: CONF-9411178--3
  • Grant Number: W-31-109-ENG-38
  • Office of Scientific & Technical Information Report Number: 105516
  • Archival Resource Key: ark:/67531/metadc619588

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Office of Scientific & Technical Information Technical Reports

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Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

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  • December 31, 1994

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  • June 16, 2015, 7:43 a.m.

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  • Dec. 15, 2015, 5:58 p.m.

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Michalakes, J.; Canfield, T.; Nanjundiah, R.; Hammond, S. & Grell, G. Parallel implementation, validation, and performance of MM5, article, December 31, 1994; Illinois. (digital.library.unt.edu/ark:/67531/metadc619588/: accessed October 23, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.