【摘 要】
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This paper discusses the relationship between parallelism granularity and system overhead ofdataflow computer systems,and indicates that a trade-off between th
【机 构】
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Shanghai Jiaotong University,Shanghai Jiaotong University,
【出 处】
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Journal of Computer Science and Technology
论文部分内容阅读
This paper discusses the relationship between parallelism granularity and system overhead ofdataflow computer systems,and indicates that a trade-off between them should be determined to obtainoptimal efficiency of the overall system.On the basis of this discussion,a macro-dataflow computationalmodel 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 ofthe 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 quality 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.
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