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Spatial and angular domain decomposition algorithms for the curviliner S[sub N] transport theory method

Journal Article · · Transport Theory and Statistical Physics; (United States)
 [1]
  1. Pennsylvania State Univ., University Park (United States)
This paper surveys several domain decomposition algorithms developed for the 1-D and 2-D curvilinear S[sub N] transport theory methods. The angular and spatial domain decomposition algorithms are incorporated into TWOTRAN-11 (an S[sub N] production code) and the parallel performances of these algorithms are measured on the IBM 3090 multiprocessors, mainly in the [open quote]BATCH[close quote] mode. The measured parallel efficiencies for most test cases are greater than 60%. Further, it is demonstrated that the combined spatial and angular domain decomposition algorithms yield tens of independent tasks without significantly affecting solution convergence. 20 refs., 6 figs., 6 tabs.
OSTI ID:
6235473
Journal Information:
Transport Theory and Statistical Physics; (United States), Journal Name: Transport Theory and Statistical Physics; (United States) Vol. 22:2-3; ISSN TTSPB4; ISSN 0041-1450
Country of Publication:
United States
Language:
English