That's a strategy that can be applied to various problems. When you can use it, it's a very effective way to make use of multi-processors/machine clusters.
It seems to be particulary well suited for problems where the processing can be split into more or less independent sections. Example: most fractals can be rendered partially - each process takes on a "tile" and calculate only that part.
Recently, I've been thinking about audio processing - where parallel audio streams can be split out:
CPU 1 CPU 2 CPU 3
O source one O source two
| |
+-----------+ |
| | |
O effect 1 O effect 2 O effect 3
| | |
| +--------------+
O effect 4 O effect 5
| |
| |
O output 1 O output 2
Signals go in from the top and exit at the bottom (usually in small batches). Each column can in principle be taken on by a different process(or).
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