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A Reindexing Based Approach Towards Mapping Of Dag With Affine Schedules Onto Parallel Embedded Systems

机译:基于仿索引的Dag映射到并行嵌入式系统的基于重新索引的方法

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We address the problem of optimally mapping uniform DAGs to systolic arrays, given an affine timing function. We introduce an automatic allocation method based on a preprocessing by reindexing that transforms the initial DAG into a new one that enables the well known projection method to minimize the number of processors along a number of directions. We demonstrate its superiority to other methods, and establish the space-optimality of the proposed method. We also show an upper bound on the number of processors that corresponds to the best space complexity that both the projection method, and the so-called grouping method can give for the initial DAG. We also describe how the new allocation method can be implemented in tools.
机译:给定仿射定时函数,我们解决了将统一DAG最佳映射到脉动阵列的问题。我们介绍了一种基于预处理的自动分配方法,该方法通过重新索引将初始DAG转换为新的索引,从而使众所周知的投影方法能够将沿多个方向的处理器数量最小化。我们证明了它比其他方法的优越性,并建立了所提出方法的空间最优性。我们还显示了处理器数量的上限,它对应于投影方法和所谓的分组方法都可以为初始DAG提供的最佳空间复杂度。我们还将描述如何在工具中实现新的分配方法。

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