- Gaußalgorithm using a distribution of unknowns different to
that in pipe.
- Multiple 1D Gauß-Seidel iterations also with
fully occupied matrices.
- Input and output of data via one excellent processor/node which
is connected to a host computer.
This is especially useful if the amount of data exceeds
the local memory of one processor.
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