This paper examines the problem of dealing with the integration of a two-dimensional
Schrödinger equation using a sector-diabatic coupled-channel approach when
the coupling matrix is too large to fit into the memory of individual nodes of a
multiple-instruction, multiple-data (MIMD) parallel machine. For this case, the
distribution of blocks of the coupling matrix among the different nodes and the use
of a pipeline model are investigated. To measure performances and to compare them
with those measured for a previously optimized task farm model, the pipeline model
was implemented on a hypercube and its structure optimized. Benchmarks were
performed for dimensions of the coupling matrix manageable by both task farm and
pipeline models.
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