Parallel computation of 3-D small-scale turbulence via additive turbulent decomposition

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Implementation and parallelization of additive turbulent decomposition is described for the small-scale incompressible Navier-Stokes equations in 3-D generalized coordinates applied to the problem of turbulent jet flow. It is shown that the method is capable of producing high-resolution local results, and that it exhibits a high degree of parallelizability. Results are presented for both distributed- and shared-memory architectures, and speedups are essentially linear with number of processors in both cases.

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9 p.

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Mukerji, S. & McDonough, J.M. December 31, 1995.

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Description

Implementation and parallelization of additive turbulent decomposition is described for the small-scale incompressible Navier-Stokes equations in 3-D generalized coordinates applied to the problem of turbulent jet flow. It is shown that the method is capable of producing high-resolution local results, and that it exhibits a high degree of parallelizability. Results are presented for both distributed- and shared-memory architectures, and speedups are essentially linear with number of processors in both cases.

Physical Description

9 p.

Notes

OSTI as DE96008341

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  • Parallel computational fluid dynamics, Pasadena, CA (United States), 26-29 Jun 1995

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  • Other: DE96008341
  • Report No.: CONF-9506290--2
  • Grant Number: FG22-93PC93210
  • Office of Scientific & Technical Information Report Number: 228186
  • Archival Resource Key: ark:/67531/metadc667860

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  • December 31, 1995

Added to The UNT Digital Library

  • June 29, 2015, 9:42 p.m.

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  • Dec. 18, 2015, 4:18 p.m.

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Mukerji, S. & McDonough, J.M. Parallel computation of 3-D small-scale turbulence via additive turbulent decomposition, article, December 31, 1995; United States. (digital.library.unt.edu/ark:/67531/metadc667860/: accessed December 15, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.