An algorithm for array variable clustering

L. Ramachandran, D. Gajski, Viraphol Chaiyakul
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引用次数: 92

Abstract

During synthesis of behavioral descriptions array variables are implemented with memory modules. In this paper we show that simple one-to-one mapping between the array variables and the memory modules lead to inefficient designs. We propose a new algorithm, MeSA, which computes for a given set of array variables, (a) the number of memory modules, (b) the size of each module (c) the number of ports on each module and (d) and the grouping of array variables assigned to each memory module. The effects of address translations are incorporated into the algorithm. While most previous research efforts have concentrated on scalar variables, the primary focus in this paper is deriving efficient storage assignment for array variables.<>
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一种数组变量聚类算法
在行为描述的合成过程中,数组变量是用内存模块实现的。在本文中,我们证明了阵列变量和存储模块之间的简单一对一映射导致低效的设计。我们提出了一种新的算法MeSA,它计算给定的一组数组变量,(a)存储模块的数量,(b)每个模块的大小,(c)每个模块上的端口数量和(d)分配给每个存储模块的数组变量的分组。在算法中考虑了地址转换的影响。以往的研究工作大多集中在标量变量上,而本文的主要重点是为数组变量提供有效的存储分配。
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