A VLSI Layout Legalization Technique Based on a Graph Fixing Algorithm

S.D. Wu, C. Tsai, M. Yang
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引用次数: 4

Abstract

This paper describes a novel graph fixing algorithm which can be used to fix the design constraint violations for a VLSI layout. Layouts are designed so that the process design rule and user specified constraints must be satisfied. Custom layout methodologies and process design rule migration activities introduce rule and constraint violations in layouts. Traditionally, layout compaction technique based on minimal area criterion is used to solve layout constraint violation problem. Unfortunately such layout compaction technique often fail in real designs since the layout often changed significantly and resulted in circuit performance degeneracy after layout compaction. Recently, a minimum layout perturbation was proposed to overcome the aforementioned drawback. The layout legalization was formulated as a linear programming problem which objective function was the summation of the perturbation of shapes. Such works reduced the impact on circuit performance greatly. In this paper, based on the concept of minimum layout perturbation, a more efficient graph fixing algorithm is proposed to solve layout legalization problem. This algorithm has been implemented as a part of Lakertrade AutoCorrect function and demonstrated the efficiency and feasibility for several real designs
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一种基于图固定算法的VLSI版图合法化技术
本文提出了一种新的图形修复算法,可用于解决超大规模集成电路布局中设计约束违规的问题。在设计布局时,必须满足流程设计规则和用户指定的约束。自定义布局方法和流程设计规则迁移活动在布局中引入了规则和约束冲突。传统的布局压缩技术采用基于最小面积准则的布局压缩技术来解决布局约束冲突问题。然而,这种布局压缩技术在实际设计中往往失败,因为经过布局压缩后,电路的布局会发生很大的变化,导致电路性能下降。最近,为了克服上述缺点,提出了最小布局扰动。将布局合法化问题表述为目标函数为形状摄动之和的线性规划问题。这样的工作大大降低了对电路性能的影响。本文基于最小布局摄动的概念,提出了一种更有效的图固定算法来解决布局合法化问题。该算法已作为Lakertrade自动纠错功能的一部分实现,并通过几个实际设计验证了该算法的有效性和可行性
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