高效的ROBDD施工调度技术

R. Murgai, J. Jain, M. Fujita
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引用次数: 7

摘要

构建网络复杂门(或函数)f的降阶有序二元决策图(ROBDD)最常用的方法是自下而上,即首先构建f的子表达式的降阶有序二元决策图,然后将它们适当地组合起来。但是,即使在f的ROBDD不大的情况下,这种方法也存在内存爆炸的问题。这导致了以下基本问题:给定任意布尔表达式f(x/下标1/,x/下标2/,…)x/下压n/)和t/下压t/s的ROBDD(就电路输入而言),f的ROBDD应该如何构造,以使修复以构建ROBDD的中间存储器最小化,并且不会产生沉重的时间惩罚?在本文中,我们针对一个受限的f:一个多路与或操作来解决这个问题。我们提出了各种调度表达式f的二进制操作的方案。这些方案是基于对中间robdd的大小和支持集的分析。我们的主要贡献之一是证明在某些条件下,这些方案提供了最佳解决方案。我们在ISCAS85中存在的复杂功能以及大型工业电路中测试了提出的方案。平均而言,与SIS[1992]中实现的技术相比,我们的最佳方案(基于组件ROBDD的尺寸和支持集)使ROBDD尺寸减少了25%。在某些情况下。减少幅度高达4个数量级。由于robdd是各种合成和验证任务的关键技术。我们的工作可以在所有这些应用中立即使用。
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Efficient scheduling techniques for ROBDD construction
The most common way to build the reduced ordered binary decision diagram (ROBDD) of a complex gate (or function) f of a network is bottom-up, i.e., by first building the ROBDDs of the sub-expressions of f and then suitably combining them. Such a method, however, has been found to suffer from memory explosion, even when the ROBDD of f is not large. This leads to the following fundamental question: Given an arbitrary boolean expression f(x/sub 1/,x/sub 2/,...x/sub n/) and the ROBDDs of t/sub t/s (in terms of circuit inputs), how should the ROBDD of f be constructed so that the intermediate memory repaired to build the ROBDD is minimized, and a heavy time penalty is not incurred? In this paper, we address this question for a restricted f: a multi-way AND or OR operation. We propose various schemes for scheduling the binary operations of the expression f. These schemes are based on an analysis of the sizes and support-sets of the intermediate ROBDDs. One of our main contributions is to prove that under certain conditions, these schemes provide the optimum solution. We tested the proposed schemes on complex functions present within ISCAS85 as well as large industrial circuits. On average, our best scheme (which is based on size as well as support-set of the component ROBDDs) yields a 25% reduction in ROBDD sizes as compared to the technique implemented in SIS [1992]. In some cases. A reduction of up to 4 orders of magnitude was seen. Since ROBDDs are a key technology in various synthesis and verification tasks. Our work can be of immediate use in all these applications.
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