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SAT Based Exact Synthesis using DAG Topology Families

机译:使用DAG拓扑族的基于SAT的精确合成

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SAT based exact synthesis is a powerful technique, with applications in logic optimization, technology mapping, and synthesis for emerging technologies. However, its runtime behavior can be unpredictable and slow. In this paper, we propose to add a new type of constraint based on families of DAG topologies. Such families restrict the search space considerably and let us partition the synthesis problem in a natural way. Our approach shows significant reductions in runtime as compared to state-of-the-art implementations, by up to 63.43%. Moreover, our implementation has significantly fewer timeouts compared to baseline and reference implementations, and reduces this number by up to 61%. In fact, our topology based implementation dominates the others with respect to the number of solved instances: given a runtime bound, it solves at least as many instances as any other implementation.
机译:基于SAT的精确综合是一项强大的技术,在逻辑优化,技术映射和新兴技术的综合中都有应用。但是,其运行时行为可能无法预测且缓慢。在本文中,我们建议基于DAG拓扑族添加一种新型约束。这些族极大地限制了搜索空间,让我们以自然的方式划分综合问题。与最新的实现相比,我们的方法显示出运行时间显着减少了63.43%。此外,与基准和参考实施相比,我们的实施具有显着更少的超时,并且最多可将这一数目减少61%。实际上,相对于已解决实例的数量,基于拓扑的实现在其他方面占主导地位:给定运行时范围,它至少可以解决与其他任何实现一样多的实例。

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