Asynchronous Communication in Spectral Element and Discontinuous Galerkin Methods for Atmospheric Dynamics / by Benjamin F. Jamroz, Robert Klöfkorn

By: Contributor(s): Series: | NCAR Technical NotesBoulder, Colo. : National Center for Atmospheric Research, 2015Content type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISSN:
  • 2153-2397
  • 2153-2400
Subject(s): Online resources: Abstract: The scalability of computational applications on current and next generation supercomputers is increasingly limited by the cost of inter-process communication. We implement non-blocking asynchronous communication in the High-Order Methods Modeling Environment for the time-integration of the hydrostatic fluid equations using both the Spectral Element and Discontinuous Galerkin methods. This allows the overlap of computation with communication effectively hiding some of the costs of communication. A novel detail about our approach is that it provides some data movement to be performed during the asynchronous communication even in the absence of other computations. This method produces significant performance and scalability gains in large-scale simulations.
Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
REPORT REPORT NCAR Library Mesa Lab 03718 1 Available 50583020003855
Total holds: 0

2015-06

Technical Report

The scalability of computational applications on current and next generation supercomputers is increasingly limited by the cost of inter-process communication. We implement non-blocking asynchronous communication in the High-Order Methods Modeling Environment for the time-integration of the hydrostatic fluid equations using both the Spectral Element and Discontinuous Galerkin methods. This allows the overlap of computation with communication effectively hiding some of the costs of communication. A novel detail about our approach is that it provides some data movement to be performed during the asynchronous communication even in the absence of other computations. This method produces significant performance and scalability gains in large-scale simulations.

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