An object-oriented approach to development and testing of parallel solution algorithms for nonlinear PDES

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Description

An object-oriented design that provides flexibility in simulation codes is presented. This flexibility allows programmers freedom to easily change solution algorithms and discretization schemes as well as add new solver packages as they become available. Careful attention is paid to separating algorithm, data, and specific problem classes to provide for ease in changing any of these components. Furthermore, data structures are chosen so that each component works with data in a form best suited to its needs. Lastly, we present some experiences and comments on the tradeoffs involved with this design.

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Hornung, R & Woodward, C September 17, 1998.

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Description

An object-oriented design that provides flexibility in simulation codes is presented. This flexibility allows programmers freedom to easily change solution algorithms and discretization schemes as well as add new solver packages as they become available. Careful attention is paid to separating algorithm, data, and specific problem classes to provide for ease in changing any of these components. Furthermore, data structures are chosen so that each component works with data in a form best suited to its needs. Lastly, we present some experiences and comments on the tradeoffs involved with this design.

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1.1 Megabytes

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  • SIAM Workshop on Object-Oriented Methods for Interoperable Scientific and Engineering Computing, Yorktown Heights, NY, October 21-23, 1998

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  • Other: DE00008566
  • Report No.: UCRL-JC-131836
  • Grant Number: W-7405-Eng-48
  • Office of Scientific & Technical Information Report Number: 8566
  • Archival Resource Key: ark:/67531/metadc785469

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Office of Scientific & Technical Information Technical Reports

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  • September 17, 1998

Added to The UNT Digital Library

  • Dec. 3, 2015, 9:30 a.m.

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  • May 6, 2016, 10:57 p.m.

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Hornung, R & Woodward, C. An object-oriented approach to development and testing of parallel solution algorithms for nonlinear PDES, article, September 17, 1998; Livermore, California. (digital.library.unt.edu/ark:/67531/metadc785469/: accessed December 17, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.