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Unfolding a Split-Node Data-Flow Graph

机译:展开拆分节点数据流图

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Many computation-intensive or recursive applications commonly found in digital signal processing and image processing applications can be represented by data-flow graphs (DFGs). In our previous work, we proposed a new technique, extended retiming, which can be combined with minimal unfolding to transform a DFG into one which is rate-optimal. The result, however, is a DFG with split nodes, with it implied that we are able to unfold such a graph. Generalizing the known unfolding methods so that they apply to this new model has heretofore not been explored. In this paper, we logically prove the specific changes that transpire when a split-node graph is unfolded and propose an algorithm for performing unfolding.
机译:数字信号处理和图像处理应用程序中常见的许多计算密集型或递归应用程序都可以用数据流图(DFG)表示。在我们以前的工作中,我们提出了一种新技术,即扩展重定时,可以将其与最小展开结合起来,以将DFG转换为速率最佳的DFG。但是,结果是带有分割节点的DFG,这意味着我们能够展开这样的图。迄今为止,尚未探索归纳已知的展开方法以便将其应用于该新模型。在本文中,我们从逻辑上证明了展开节点图展开时发生的特定变化,并提出了执行展开的算法。

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