摘要
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 Ex- perimental Distributed Dataflow Simulation System (EDDSS) is developed to examine the effectiveness of the macro-dataflow computational model.
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 Ex- perimental Distributed Dataflow Simulation System (EDDSS) is developed to examine the effectiveness of the macro-dataflow computational model.
