Abstract
This paper discusses the relationship between parallelism granularity and system overhead of dataflow computer systems, and indicates that a trade-off between them should be determined to obtain optimal efficiency of the overall system. On the basis of this discussion, a macro-dataflow computational model is established to exploit the task-level parallelism. Working as a macro-dataflow computer, an Experimental Distributed Dataflow Simulation System (EDDSS) is developed to examine the effectiveness of the macro-dataflow computational model.
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