Application driven variable reordering and an example implementation in reachability analysis

C. Meinel, Klaus Schwettmann, A. Slobodová
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引用次数: 5

Abstract

Variable reordering is the main approach to minimize the size of Ordered Binary Decision Diagrams. But despite the huge effort spent, up to now, to design different reordering heuristics, their performance often does not meet the needs of the applications. In many OBDD-based computations, the time cost for reordering dominates the time spent by the computation itself. There are some known approaches for accelerating the reordering by taking advantage of structural properties of OBDDs and functions represented. In this paper, we propose a reordering method that exploits application specific information. The main idea is to drive the reordering process by the computation. This effects an acceleration of the whole computation rather than of the reordering only. The power of the approach is illustrated by speeding up forward traversal of finite state machines.
应用程序驱动的变量重排序和可达性分析中的一个示例实现
变量重排序是最小化有序二元决策图大小的主要方法。但是,尽管迄今为止人们在设计不同的重排序启发式算法方面付出了巨大的努力,但它们的性能往往不能满足应用程序的需要。在许多基于obdd的计算中,重新排序的时间成本超过了计算本身所花费的时间。有一些已知的方法可以利用obdd的结构特性和所表示的函数来加速重排序。在本文中,我们提出了一种利用应用特定信息的重新排序方法。其主要思想是通过计算来驱动重排序过程。这影响了整个计算的加速,而不仅仅是重新排序。通过加速有限状态机的正向遍历,说明了该方法的强大功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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