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Triple/Quadruple Patterning Layout Decomposition via Novel Linear Programming and Iterative Rounding

机译:通过新颖的线性规划和迭代舍入的三倍/四倍图案化布局分解

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As feature size of the semiconductor technology scales down to 10nm and beyond, multiple patterning lithography (MPL) has become one of the most practical candidates for lithography, along with other emerging technologies such as extreme ultraviolet lithography (EUVL), e-beam lithography (EBL) and directed self assembly (DSA). Due to the delay of EUVL and EBL, triple and even quadruple patterning are considered to be used for lower metal and contact layers with tight pitches. In the process of MPL, layout decomposition is the key design stage, where a layout is split into various parts and each part is manufactured through a separate mask. For metal layers, stitching may be allowed to resolve conflicts, while it is forbidden for contact and via layers. In this paper, we focus on the application of layout decomposition where stitching is not allowed such as for contact and via layers. We propose a linear programming and iterative rounding (LPIR) solving technique to reduce the number of non-integers in the LP relaxation problem. Experimental results show that the proposed algorithms can provide high quality decomposition solutions efficiently while introducing as few conflicts as possible.
机译:作为半导体技术的特征尺寸缩小到10nm,超过10nm,多个图案化光刻(MPL)已成为光刻最实用的候选人之一,以及其他新兴技术,如极端紫外线(EUVL),电子束光刻( EBL)和定向自组装(DSA)。由于EUV1和EBL的延迟,三重甚至四倍图案被认为用于较低金属和带有紧凑的接触层。在MPL的过程中,布局分解是关键设计阶段,其中布局被分成各个部件,并且每个部分通过单独的掩模制造。对于金属层,可以允许缝合来解决冲突,而禁止接触和通过层。在本文中,我们专注于布局分解的应用,其中不允许缝合,例如接触和通过层。我们提出了一种线性编程和迭代圆形(LPIR)解决技术,以减少LP松弛问题中的非整数的数量。实验结果表明,所提出的算法可以有效地提供高质量的分解解决方案,同时引入尽可能少的冲突。

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