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IBAW: An implication-tree based alternative-wiring logic transformation algorithm

机译:IBAW:基于含义树的替代 - 布线逻辑变换算法

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The well-known ATPG-based alternative wiring technique, RAMBO, has been shown to be very useful because of its proven powerfulness and flexibility in attacking many design automation problems (e.g. logic optimization, circuit partitioning, and post-layout logic transformation -- etc). Since the ATPG based alternative wire locating procedure is the center engine for all its applications, speeding up of this process should be very crucial and useful. We observe that the bottleneck of the technique lies in the costly redundancy tests among a large number of candidate alternative wires. In this paper, we develop a so-called implication-tree data structure which stores implication relationship between nodes with determined logic values, and propose a new ATPG-based alternative-wiring algorithm to speed up the engine. The algorithm, Implication-tree Based Alternative-Wiring (IBAW), differs from other ATPG-based algorithms in terms that it selects source node of alternative wires from the implication-tree, which makes IBAW be able to trim out many unnecessary redundancy checking quite easily without calling for complicated procedures. Hence, it produces a steady speeding up of around 3.6 times faster while maintains the same rewiring capability of the original RAMBO. Our experimental results show that the overall circuit area optimized by IBAW can be slightly better than that by RAMBO, while the runtime is just one-half of the latter.
机译:众所周知的基于ATPG的替代布线技术,rambo已被证明是非常有用的,因为它在攻击许多设计自动化问题(例如逻辑优化,电路分区和后布局后逻辑变换 - 等方面,它被证明是非常有用的)。由于基于ATPG的替代电线定位程序是所有应用的中心发动机,因此加速该过程应该是非常至关重要的并且有用。我们观察到该技术的瓶颈位于大量候选替代线之间的昂贵冗余测试。在本文中,我们开发了一个所谓的含义树数据结构确定的逻辑值的节点之间,其存储蕴涵关系,并提出了一种新的基于ATPG-替代配线算法来加速发动机。该算法,蕴涵树基替代配线(IBAW),从其他基于ATPG的算法的不同之处而言,从蕴涵树,这使得IBAW能够修剪出许多不必要的冗余检查相当的替代电线它选择源节点很容易呼吁复杂的程序。因此,它产生稳定的加速度,比较快3.6倍,同时保持原始rambo的相同重新加速能力。我们的实验结果表明,由IBAW优化的整体电路面积可以略好于rambo,而运行时仅仅是后者的一半。

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