ATPG-based logic synthesis: an overview

C. Chang, M. Marek-Sadowska
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引用次数: 2

Abstract

The ultimate goal of logic synthesis is to explore implementation flexibility toward meeting design targets, such as area, power, and delay. Traditionally, such flexibility is expressed using "don't cares" and we seek the best implementation that does not violate them. However, the calculation and storing of don't care information is CPU and memory-intensive. In this paper, we give an overview of logic synthesis approaches based on techniques developed for Automatic Test Pattern Generation (ATPG). Instead of calculating and storing don't cares explicitly, ATPG-based logic synthesis techniques calculate the flexibility implicitly. Low CPU and memory usage make those techniques applicable for practical industrial circuits. Also, the basic ATPG-based logic level operations create predictable, small layout perturbations, making an ideal foundation for efficient physical synthesis. Theoretical results show that an efficient, yet simple add-a-wire-and-remove-a-wire operation covers all possible complex logic transformations.
基于atpg的逻辑综合:概述
逻辑综合的最终目标是探索实现的灵活性,以满足设计目标,如面积、功耗和延迟。传统上,这种灵活性是用“不关心”来表达的,我们寻求不违反它们的最佳实现。然而,计算和存储无关信息是CPU和内存密集型的。本文概述了基于自动测试模式生成(ATPG)技术的逻辑综合方法。而不是计算和存储显式地关心,基于atpg的逻辑综合技术隐式地计算灵活性。低CPU和内存的使用使这些技术适用于实际的工业电路。此外,基本的基于atpg的逻辑级操作创建可预测的,小的布局扰动,为有效的物理合成奠定了理想的基础。理论结果表明,一个有效而简单的加线和拆线操作涵盖了所有可能的复杂逻辑转换。
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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