Abstract
The paper concerns task graph scheduling in parallel programs using the concept of moldable computational tasks for a parallel architecture based on dynamic SMP processor clusters with data transmissions on the fly. The presented algorithm for scheduling parallel program graphs decomposes an initial program graph to sub-graphs, which fulfill the definition of a moldable task. So identified moldable tasks are then scheduled using an algorithm with warranted schedule length.
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