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Improved merging of datapath operators using information content and required precision analysis

机译:使用信息内容和所需的精度分析来改进数据路径运算符的合并

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摘要

We introduce the notions of required precision and information content of datapath signals and use them to define functionally safe transformations on data ow graphs. These transformations reduce widths of datapath operators and enhance their mergeability. Using efficient algorithms to compute required precision and information content of signals, we define a new algorithm for partitioning a data flow graph consisting of datapath operators into mergeable clusters. Experimental results indicate that use of our clustering algorithm for operator merging based synthesis of datapath intensive designs, can lead to significant improvement in the delay and area of the implementation.

机译:

我们介绍了数据路径信号的所需精度和信息内容的概念,并使用它们来定义数据流图上的功能安全转换。这些转换减小了数据路径运算符的宽度,并增强了它们的可合并性。使用高效的算法来计算所需的信号精度和信息内容,我们定义了一种新算法,用于将由数据路径运算符组成的数据流图划分为可合并的簇。实验结果表明,将我们的聚类算法用于基于操作员合并的数据路径密集型设计综合,可以显着改善实现的延迟和面积。

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