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

机译:自对准双图案分解,用于最小化重叠和热点检测

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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(SADP)光刻技术是一种很有前途的技术,可以减少32纳米以下工艺的覆盖和打印2D功能。然而,如何分解布局以最小化覆盖并执行热点检测仍然是一个悬而未决的问题。在本文中,我们提出了一种可以最佳解决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覆盖的分解解决方案。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,并且Nangate开放单元库和较大的测试用例的分解结果还具有竞争性的运行时间。

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