Abstract
In this paper a parallel algorithm for angular domain decomposition (or parallelization) of an r-dependent spherical S{sub n} transport theory method is derived. The parallel formulation is incorporated into TWOTRAN-II using the IBM Parallel Fortran compiler and implemented on an IBM 3090/400 (with four processors). The behavior of the parallel algorithm for different physical problems is studied, and it is concluded that the parallel algorithm behaves differently in the presence of a fission source as opposed to the absence of a fission source; this is attributed to the relative contributions of the source and the angular redistribution terms in the S{sub s} algorithm. Further, the parallel performance of the algorithm is measured for various problem sizes and different combinations of angular subdomains or processors. Poor parallel efficiencies between {approximately}35 and 50% are achieved in situations where the relative difference of parallel to serial iterations is {approximately}50%. High parallel efficiencies between {approximately}60% and 90% are obtained in situations where the relative difference of parallel to serial iterations is {lt}35%.
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