A. Narayan, Adrian J. Isles, J. Jain, R. Brayton, A. Sangiovanni-Vincentelli
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引用次数: 100
Abstract
We address the problem of finite state machine (FSM) traversal, a key step in most sequential verification and synthesis algorithms. We propose the use of partitioned ROBDDs to reduce the memory explosion problem associated with symbolic state space exploration techniques. In our technique, the reachable state set is represented as a partitioned ROBDD (A. Narayan et al., 1996). Different partitions of the Boolean space are allowed to have different variable orderings and only one partition needs to be in memory at any given time. We show the effectiveness of our approach on a set of ISCAS89 benchmark circuits. Our techniques result in a significant reduction in total memory utilization. For a given memory limit, partitioned ROBDD based method can complete traversal for many circuits for which monolithic ROBDDs fail. For circuits where both partitioned ROBDDs as well as monolithic ROBDDs cannot complete traversal, partitioned ROBDDs can reach a significantly larger set of states.
我们解决了有限状态机(FSM)遍历的问题,这是大多数顺序验证和合成算法的关键步骤。我们建议使用分区的robdd来减少与符号状态空间探索技术相关的内存爆炸问题。在我们的技术中,可达状态集被表示为分区的ROBDD (a . Narayan et al., 1996)。允许布尔空间的不同分区具有不同的变量顺序,并且在任何给定时间只需要一个分区在内存中。我们在一组ISCAS89基准电路上展示了我们的方法的有效性。我们的技术显著降低了总内存利用率。在给定的内存限制下,基于分区ROBDD的方法可以完成对许多单片ROBDD无法完成的电路的遍历。对于分割的robdd和单片的robdd都不能完成遍历的电路,分割的robdd可以达到更大的状态集。