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Worst-case performance analysis of SDF-based parameterized dataflow

机译:基于SDF的参数化数据流的最坏情况性能分析

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摘要

Dynamic dataflow models of computation (MoCs) have been introduced to provide designers with sufficient expressive power to capture increasing levels of dynamism in present-day streaming applications. Among dynamic dataflow MoCs, parameterized dataflow MoCs hold an important place. This is due to the fact that they allow for a compact representation of fine-grained data-dependent dynamics inherent to many present-day streaming applications.
机译:引入了动态数据流计算模型(MoC),以为设计人员提供足够的表达能力,以捕获当今流应用程序中不断增长的动态性。在动态数据流MoC中,参数化数据流MoC占有重要地位。这是由于它们允许紧凑地表示许多当今流应用程序固有的细粒度数据相关动态。

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