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Lower bounds of the size of Shared Structurally Synthesized BDDs

机译:共享结构合成BDD大小的下限

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A novel type of BDDs called Shared Structurally Synthesized BDDs (S3BDD) is presented as an extension of the SSBDDs, and a method is given to minimize the size of the model. As in case of SSBDDs, the S3BDDs have linear complexity compared to the size of the logic circuit they represent, and they are characterized by the property of one-to-one mapping between the nodes of graphs and signal paths in the circuit. Minimization of S3BDDs makes it possible to get higher rates in fault collapsing, and to speed-up logic simulation as a main tool in delay analysis, fault reasoning and test generation. A lower bound is developed for the size of S3BDDs to evaluate the results of S3BDD synthesis, and it is shown that this bound can be reached rather closely by a straightforward method. Experimental results demonstrate that the S3BDDs represent the most compact BDD based model representing the structure of the digital circuits, which has in average 1.5 times less nodes than the SSBDDs.
机译:介绍了一种称为共享结构综合BDD(S3BDD)的新型BDD,作为SSBDD的扩展,并给出了一种最小化模型大小的方法。与SSBDD一样,S3BDD与它们表示的逻辑电路的大小相比具有线性复杂度,并且其特征在于电路中图形的节点与信号路径之间的一对一映射特性。 S3BDD的最小化可以提高故障崩溃的发生率,并加快逻辑仿真的速度,将其作为延迟分析,故障推理和测试生成的主要工具。为S3BDD的大小开发了一个下限,以评估S3BDD合成的结果,并且表明可以通过一种简单的方法非常接近地达到此界限。实验结果表明,S3BDD代表了最紧凑的基于BDD的模型,该模型代表了数字电路的结构,其平均节点数比SSBDD少1.5倍。

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