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Multigroup flux solvers using PVM

Using a cluster of processors with a distributed memory, parallelization for multigroup flux computations is investigated. The parallel performance will be studied in cases where the time-independent transport equation is linearized using the collision probability (CP) technique. Particular techniques pertinent to the two-step energy/space iterative process of solving a multigroup linear equation are described. Parallelization is achieved by distributing either different energy groups or different regions on a set of workstations using PVM. Typical run times will be provided for slab assemblies. Finally, conclusions are drawn for future applications of these parallel multigroup CP flux solvers.