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

机译:IBAW:一种基于蕴涵树的替代布线逻辑转换算法

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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 the 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 the source node of alternative wires from the implication-tree, which makes IBAW 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 maintaining 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:事实证明,基于ATPG的替代布线技术RAMBO非常有用,因为它在解决许多设计自动化问题(例如逻辑优化,电路划分和布局后逻辑转换等)方面具有强大的功能和灵活性。 )。由于基于ATPG的替代导线定位程序是其所有应用的中心引擎,因此加快该过程非常关键和有用。我们注意到,该技术的瓶颈在于大量候选替代品中昂贵的冗余测试电线。在本文中,我们开发了一种所谓的蕴涵树数据结构,该结构存储具有确定逻辑值的节点之间的蕴涵关系,并提出了一种新的基于ATPG的替代布线算法以加速引擎。与其他基于ATPG的算法不同,该算法是基于隐式树的替代布线(IBAW),它从隐式树中选择替代导线的源节点,这使IBAW能够相当多地削减许多不必要的冗余检查无需复杂的程序即可轻松完成。因此,它在保持与原始RAMBO相同的重新布线能力的同时,稳定地提高了约3.6倍的速度。我们的实验结果表明,IBAW优化的总电路面积可能比RAMBO的总电路面积稍好,而运行时间仅为后者的一半。

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