Multitasking TORT Under UNICOS: Parallel Performance Models and Measurements

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Description

The existing parallel algorithms in the TORT discrete ordinates were updated to function in a UNI-COS environment. A performance model for the parallel overhead was derived for the existing algorithms. The largest contributors to the parallel overhead were identified and a new algorithm was developed. A parallel overhead model was also derived for the new algorithm. The results of the comparison of parallel performance models were compared to applications of the code to two TORT standard test problems and a large production problem. The parallel performance models agree well with the measured parallel overhead.

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10 pages

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Azmy, Y.Y. & Barnett, D.A. September 27, 1999.

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Description

The existing parallel algorithms in the TORT discrete ordinates were updated to function in a UNI-COS environment. A performance model for the parallel overhead was derived for the existing algorithms. The largest contributors to the parallel overhead were identified and a new algorithm was developed. A parallel overhead model was also derived for the new algorithm. The results of the comparison of parallel performance models were compared to applications of the code to two TORT standard test problems and a large production problem. The parallel performance models agree well with the measured parallel overhead.

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10 pages

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  • ANS International Conference on Mathematics and Computation, Reactor Physics and Environmental Analysis in Nuclear Applications, Madrid, Spain, September 27-30, 1999

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  • Other: DE00007956
  • Report No.: ORNL/CP-103508
  • Grant Number: AC05-96OR22464
  • Office of Scientific & Technical Information Report Number: 7956
  • Archival Resource Key: ark:/67531/metadc741408

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Office of Scientific & Technical Information Technical Reports

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  • September 27, 1999

Added to The UNT Digital Library

  • Oct. 19, 2015, 7:39 p.m.

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  • Feb. 15, 2016, 12:24 p.m.

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Azmy, Y.Y. & Barnett, D.A. Multitasking TORT Under UNICOS: Parallel Performance Models and Measurements, article, September 27, 1999; Oak Ridge, Tennessee. (digital.library.unt.edu/ark:/67531/metadc741408/: accessed October 19, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.