任意上下文无关语法的并行解析VLSI架构

A. Koulouris, N. Koziris, T. Andronikos, G. Papakonstantinou, P. Tsanakas
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引用次数: 4

摘要

我们提出了一种固定尺寸的一维VLSI架构,用于任意上下文无关(CF)语法的并行解析,该架构基于Earley算法。该算法被转换为具有循环携带依赖关系的等效双嵌套循环。我们首先将算法映射到具有无限数量单元格的一维数组中。该体系结构的时间复杂度为O(n),是最优的。接下来,我们建议将其划分为固定数量的现成处理元素。考虑到细胞数量和细胞内部结构的限制,提出了两种可选的分区策略。在最受限制的情况下,所提出的架构具有时间复杂度O(n/sup 3//p*k),其中p是可用单元的数量,每个单元内的元素最多为k。
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A parallel parsing VLSI architecture for arbitrary context free grammars
We propose a fixed size one dimensional VLSI architecture for the parallel parsing of arbitrary context free (CF) grammars, based on Earley's algorithm. The algorithm is transformed into an equivalent double nested loop with loop carried dependencies. We first map the algorithm into a 1D array with unbounded number of cells. The time complexity of this architecture is O(n), which is optimal. We next propose the partitioning into a fixed number of off the shelf processing elements. Two alternative partitioning strategies are presented considering restrictions, not only in the number of the cells, but also in the inner structure of each cell. In the most restricted case, the proposed architecture has time complexity O(n/sup 3//p*k), where p is the number of available cells and the elements inside each cell are at most k.
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