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Comparison of two loop-free decomposition methods

机译:两种无循环分解方法的比较

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Decomposition is an important task in system-level synthesis, and in most applications, preserving the loop-free property during decomposition is crucial. We compare two decomposition algorithms that can preserve the loop-free property of the initial graph. The first algorithm does the decomposition in two steps, first it generates the list of possible cuts, and in the second step it chooses the cuts from the generated list. Theoretically this algorithm can generate all the possible results, however the list generation is not unique, and there is no known strategy for optimal list generation. The second algorithm generates segments based on the distance of the vertices from the inputs nodes. This algorithm can incorporate local cost functions, however it can not generate all the possible loop-free results. The second algorithm thus can be parametrized more effectively, however its search space is smaller than that of the first algorithm.
机译:分解是系统级综合中的重要任务,在大多数应用中,在分解过程中保持无环特性至关重要。我们比较了两种分解算法,它们可以保留初始图的无环属性。第一种算法分两步进行分解,首先生成可能切割的列表,第二步从生成的列表中选择切割。从理论上讲,该算法可以生成所有可能的结果,但是列表生成不是唯一的,并且没有用于优化列表生成的已知策略。第二种算法基于顶点到输入节点的距离生成片段。该算法可以合并本地成本函数,但是不能生成所有可能的无环结果。因此可以更有效地对第二算法进行参数化,但是其搜索空间比第一算法的搜索空间小。

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