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Optimization of a Short-Range Proximity Effect Correction Algorithm in E-Beam Lithography Using GPGPUs

机译:使用GPGPU的电子束光刻中的短距离邻近效应校正算法的优化

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The e-beam lithography is used to provide high resolution circuit patterning for circuit fabrication processes. However, due to electron scattering in resist and substrate it occurs an undesired exposure of regions which are adjacent to the actual exposed regions. These proximity effects represent an essential limitation to the attainable lithographic resolution. Since these effects can be described mathematically, different approaches were investigated to simulate and correct them. The developed algorithms provide the required precision for printing of circuit patterns, but on the other side demand a tremendous computational power. Modern GPGPUs consist of hundreds of processing cores and provide the same computational power as a small cluster. Therefore, the required computational power of correction algorithms may be achieved using GPGPUs. In this paper, we evaluate the achievable performance for a short-range proximity effect correction algorithm using GPGPUs.
机译:电子束光刻用于提供用于电路制造工艺的高分辨率电路图案化。然而,由于在抗蚀剂和基板中的电子散射,它发生在与实际暴露区域相邻的区域的不期望的暴露。这些邻近效应代表了可实现的光刻分辨率的基本限制。由于这些效果可以在数学上描述,因此研究了不同的方法来模拟和校正它们。开发的算法提供了用于印刷电路图案的所需精度,但另一方面需要巨大的计算能力。现代GPGPU由数百个处理核心组成,并提供与小集群相同的计算能力。因此,可以使用GPGPU来实现校正算法的所需计算能力。在本文中,我们使用GPGP来评估用于短距离邻近效应校正算法的可实现性能。

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