article · University of North Texas Digital Library (University of North Texas) · 1999
Multitasking TORT Under UNICOS: Parallel Performance Models and Measurements
Azmy, Y.Y.; Barnett, D.A.
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Abstract
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.
Cite this paper
Azmy, Y. B. D. (1999). Multitasking TORT Under UNICOS: Parallel Performance Models and Measurements. University of North Texas Digital Library (University of North Texas).
Azmy, Y.Y.; Barnett, D.A. “Multitasking TORT Under UNICOS: Parallel Performance Models and Measurements.” University of North Texas Digital Library (University of North Texas), 1999.
Azmy, Y.Y.; Barnett, D.A. 1999. “Multitasking TORT Under UNICOS: Parallel Performance Models and Measurements.” University of North Texas Digital Library (University of North Texas).
Azmy, Y.B.D. (1999) ‘Multitasking TORT Under UNICOS: Parallel Performance Models and Measurements’, University of North Texas Digital Library (University of North Texas).
@article{azmy1999multitasking,
title = {{Multitasking TORT Under UNICOS: Parallel Performance Models and Measurements}},
author = {Azmy, Y.Y.; Barnett, D.A.},
journal = {University of North Texas Digital Library (University of North Texas)},
year = {1999}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.