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Iteration bounds of single-rate data flow graphs for concurrent processing

机译:用于并行处理的单速率数据流图的迭代边界

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Single-rate data flow graphs (DFGs) are often used for modeling iterative concurrent activities. A DFG and its iteration bound are equivalent to a marked graph and cycle time of a Petri net, respectively. Ramamoorthy and Ho (1980) developed an efficient algorithm for checking the minimum cycle time against a predetermined performance requirement. This work presents a systematic procedure to find the iteration bound and the critical loop with time complexity O(n/sup 3/ log n) (n being the number of nodes), memory requirements of O(n/sup 2/), and subcritical loops with time complexity O(n/sup 3/). The next-critical loops are also studied because they may become the new critical loop if the look-ahead technique is used. The above procedure has been implemented in the C programming language which interfaces with a Petri net X-window tool to display the performance results.
机译:单速率数据流图(DFG)通常用于对并行并发活动进行建模。 DFG及其迭代边界分别等效于Petri网的标记图和循环时间。 Ramamoorthy and Ho(1980)开发了一种有效的算法,可以根据预定的性能要求检查最小循环时间。这项工作提出了一个系统的过程,以找到迭代边界和关键循环,其时间复杂度为O(n / sup 3 / log n)(n为节点数),内存需求为O(n / sup 2 /)和次临界回路的时间复杂度为O(n / sup 3 /)。还研究了下一个关键循环,因为如果使用先行技术,它们可能会成为新的关键循环。上面的过程已用C编程语言实现,该语言与Petri net X窗口工具连接以显示性能结果。

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