RSL: A parallel Runtime System Library for regional atmospheric models with nesting

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Description

RSL is a parallel runtime system library developed at Argonne National Laboratory that is tailored to regular-grid atmospheric models with mesh refinement in the form of two-way interacting nested grids. RSL provides high-level stencil and interdomain communication, irregular domain decomposition, automatic local/global index translation, distributed I/O, and dynamic load balancing. RSL was used with Fortran90 to parallelize a well-known and widely used regional weather model, the Penn State/NCAR Mesoscale model.

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17 p.

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Michalakes, J.G. August 1, 1997.

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Description

RSL is a parallel runtime system library developed at Argonne National Laboratory that is tailored to regular-grid atmospheric models with mesh refinement in the form of two-way interacting nested grids. RSL provides high-level stencil and interdomain communication, irregular domain decomposition, automatic local/global index translation, distributed I/O, and dynamic load balancing. RSL was used with Fortran90 to parallelize a well-known and widely used regional weather model, the Penn State/NCAR Mesoscale model.

Physical Description

17 p.

Notes

Also available at ftp://info.mcs.anl.gov/pub/tech{_}reports/reports/P663.ps.Z; OSTI as DE97008540

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  • IMA workshop on structured adaptive mesh refinement grid methods, Minneapolis, MN (United States), 12-13 Mar 1997

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  • Other: DE97008540
  • Report No.: ANL/MCS-P--663-0597
  • Report No.: CONF-9703118--
  • Grant Number: W-31109-ENG-38
  • DOI: 10.2172/471385 | External Link
  • Office of Scientific & Technical Information Report Number: 539878
  • Archival Resource Key: ark:/67531/metadc690641

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  • August 1, 1997

Added to The UNT Digital Library

  • Aug. 14, 2015, 8:43 a.m.

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  • Aug. 8, 2016, 8:52 p.m.

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Michalakes, J.G. RSL: A parallel Runtime System Library for regional atmospheric models with nesting, article, August 1, 1997; Illinois. (digital.library.unt.edu/ark:/67531/metadc690641/: accessed August 20, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.