双模光刻的定时产率感知颜色重分配和详细位置扰动

Mohit Gupta, Kwangok Jeong, A. Kahng
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引用次数: 14

摘要

双模式光刻(DPL)是一种可能的分辨率提高技术,用于32纳米及以下技术节点的集成电路生产。然而,DPL在芯片上产生两个独立的、不相关的线宽分布,导致“双峰”线宽分布和性能变化的增加。建议新的物理设计机制可以减少导致这种性能变化的有害协方差项。在本文中,我们提出了新的双峰感知时序分析和优化方法,以提高使用DPL制造的基于标准电池设计的时序良率。我们的第一个贡献是基于对单元布局的详细分析的dpl感知时序建模方法。我们的第二个贡献是基于ilp的最大化时间关键路径中实例的“替代”掩码着色,以最小化有害的协方差和性能变化。第三,我们提出了一种基于动态规划的详细布局算法,该算法可解决掩模着色冲突,并可用于确保在布局后甚至在详细路由后的“双重模式正确性”,同时最大限度地减少时间关键单元的位移,并具有可控的ECO影响。凭借45纳米库和开源设计测试用例,我们的时间感知重着色和放置优化共同实现高达232 ps(每秒每秒)。36.22 ns)在最坏的情况下减少。总的)为负松弛,78%(分别为。65%)最坏情况(如:总)负松弛变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Timing yield-aware color reassignment and detailed placement perturbation for double patterning lithography
Double patterning lithography (DPL) is a likely resolution enhancement technique for IC production in 32 nm and below technology nodes. However, DPL gives rise to two independent, un-correlated distributions of linewidth on a chip, resulting in a 'bimodal' linewidth distribution and an increase in performance variation. suggested that new physical design mechanisms could reduce harmful covariance terms that contribute to this performance variation. In this paper, we propose new bimodal-aware timing analysis and optimization methods to improve timing yield of standard-cell based designs that are manufactured using DPL. Our first contribution is a DPL-aware approach to timing modeling, based on detailed analysis of cell layouts. Our second contribution is an ILP-based maximization of 'alternate' mask coloring of instances in timing-critical paths, to minimize harmful covariance and performance variation. Third, we propose a dynamic programming-based detailed placement algorithm that solves mask coloring conflicts and can be used to ensure ¿double patterning correctness¿ after placement or even after detailed routing, while minimizing the displacement of timing-critical cells with manageable ECO impact. With a 45 nm library and open-source design testcases, our timing-aware recoloring and placement optimizations together achieve up to 232 ps (resp. 36.22 ns) reduction in worst (resp. total) negative slack, and 78% (resp. 65%) reduction in worst (resp. total) negative slack variation.
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CiteScore
4.60
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