Fast and efficient construction of BDDs by reordering based synthesis

A. Hett, R. Drechsler, B. Becker
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引用次数: 12

Abstract

We present a new approach to symbolic simulation with BDDs. Our method uses Reordering Based Synthesis (RBS) which allows the integration of dynamic variable ordering (even) within a single synthesis operation (e.g. an AND-operation). Thus, huge peak sizes during the construction can often be avoided, and we obtain a method that, with no penalty in runtime, is more memory efficient than traditional ITE operator based symbolic simulation. The results are confirmed by experiments on a large set of benchmarks: We give a comparison to previously published approaches and also consider some industrial benchmarks which are known to be hard to handle.
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基于重序合成快速高效构建bdd
提出了一种利用bdd进行符号仿真的新方法。我们的方法使用基于重新排序的合成(RBS),它允许在单个合成操作(例如与操作)中集成动态变量排序(偶数)。因此,在构建过程中通常可以避免巨大的峰值大小,并且我们获得了一种比传统的基于ITE算子的符号模拟更具内存效率的方法,在运行时没有损失。在大量基准测试上的实验证实了结果:我们与以前发表的方法进行了比较,并考虑了一些已知难以处理的工业基准测试。
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