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Self-aligned double patterning decomposition for overlay minimization and hot spot detection

机译:覆盖最小化和热点检测的自对准双图案化分解

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Self-aligned double patterning (SADP) lithography is a promising technology which can reduce the overlay and print 2D features for sub-32nm process. Yet, how to decompose a layout to minimize the overlay and perform hot spot detection is still an open problem. In this paper, we present an algorithm that can optimally solve the SADP decomposition problem. For a decomposable layout, our algorithm guarantees to find a decomposition solution that minimizes overlay. For a non-decomposable layout our algorithm guarantees to find all hot spots. Experimental results validate our method, and decomposition results for Nangate Open Cell Library and larger testcases are also provided with competitive run-times.
机译:自对准双图案化(SADP)光刻是一种有希望的技术,可以减少覆盖和印刷2D特征,用于子32nm过程。 然而,如何分解布局以最小化叠加并执行热点检测仍然是一个开放问题。 在本文中,我们提出了一种可以最佳地解决SADP分解问题的算法。 对于可分解的布局,我们的算法保证找到最小化叠加的分解解决方案。 对于不可分解的布局,我们的算法保证找到所有热点。 实验结果验证了我们的方法,还具有竞争力的运行时间和较大的测试酶的分解结果。

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