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An Integrated Approach of Variable Ordering and Logic Mapping into LUT-Array-Based PLD

机译:一种将变量排序和逻辑映射到基于LUT阵列的PLD的集成方法

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摘要

This paper presents an approach of logic mapping into LUT-Array-Based PLD where Boolean functions in the form of the sum of generalized complex terms (SGCTs) can be mapped directly. While previous mapping approach requires predetermined variable ordering, our approach performs mapping and variable reordering simultaneously. For the purpose, we propose a directed acyclic graph based on the multiple-valued decision diagram (MDD) and an algorithm to construct the graph. Our algorithm generates candidates of SGCT expressions for each node in a bottom-up manner and selects the variables in the current level by evaluating the sizes of SGCT expressions directly. Experimental results show that our approach reduces the number of terms maximum to 71 percent for the MCNC benchmark circuits.
机译:本文提出了一种逻辑映射到基于LUT阵列的PLD的方法,其中可以直接映射广义复杂项(SGCT)和形式的布尔函数。虽然以前的映射方法需要预先确定的变量排序,但我们的方法同时执行映射和变量重新排序。为此,我们提出了一种基于多值决策图(MDD)的有向无环图和构建该图的算法。我们的算法以自下而上的方式为每个节点生成 SGCT 表达式的候选者,并通过直接评估 SGCT 表达式的大小来选择当前水平中的变量。实验结果表明,我们的方法将MCNC基准电路的项数最大减少到71%。

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