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FLUTE: Fast Lookup Table Based Rectilinear Steiner Minimal Tree Algorithm for VLSI Design

机译:FLUTE:用于VLSI设计的基于快速查找表的线性Steiner最小树算法

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摘要

In this paper, we present a very fast and accurate rectilinear Steiner minimal tree (RSMT) algorithm called fast lookup table estimation (FLUTE). FLUTE is based on a precomputed lookup table to make RSMT construction very fast and very accurate for low-degreeThe degree of a net is the number of pins in the net. nets. For high-degree nets, a net-breaking technique is proposed to reduce the net size until the table can be used. A scheme is also presented to allow users to control the tradeoff between accuracy and runtime. FLUTE is optimal for low-degree nets (up to degree 9 in our current implementation) and is still very accurate for nets up to degree 100. Therefore, it is particularly suitable for very large scale integration applications in which most nets have a degree of 30 or less. We show experimentally that, over 18 industrial circuits in the ISPD98 benchmark suite, FLUTE with default accuracy is more accurate than the Batched 1-Steiner heuristic and is almost as fast as a very efficient implementation of Prim''s rectilinear minimum spanning tree algorithm.
机译:在本文中,我们提出了一种称为快速查找表估计(FLUTE)的非常快速,准确的直线斯坦纳最小树(RSMT)算法。 FLUTE基于预先计算的查找表,可以使RSMT的构建速度非常快,并且对于低度也非常准确。网的程度是网中的引脚数。网。对于高级蚊帐,提出了一种断网技术以减小蚊帐的大小,直到可以使用表格为止。还提出了一种方案,以允许用户控制精度和运行时间之间的折衷。 FLUTE最适合于低度网络(在我们当前的实现中最高为9级),但对于高度为100级的网络仍然非常准确。因此,它特别适合于大多数网络具有一定程度的度数的超大规模集成应用。 30以下。我们通过实验表明,在ISPD98基准套件中超过18条工业电路中,具有默认精度的FLUTE比批处理的1-Steiner启发式算法更准确,并且几乎与Prim's直线最小生成树算法的非常有效的实现速度一样快。

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