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A Path Optimization Compression Algorithm for Layout Partitioning in OPC

机译:OPC中布局分区的路径优化压缩算法

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Optimization of the path planning algorithms is an important direction in many research fields, such as robot and map. In this paper, a noval graph lossless compression method is presented for layout partitioning to shorten the time for path planning. This compression algorithm is designed for layout files, based on polygons in each layer of the layout. It can be loaded on various path search algorithms and optimization methods to find a path bypassing polygons between two points as a cutting line. The proposed algorithm not only improves the partition efficiency significantly, but also makes it easier to restore the layouts. Then the small irregular partitioned patterns can be used for next layout operation: Optical Proximity Correction(OPC).
机译:路径规划算法的优化是机器人和地图等许多研究领域的重要方向。本文提出了一种新颖的图无损压缩方法,用于布局划分,以缩短路径规划的时间。此压缩算法是基于布局的每一层中的多边形而设计的,用于布局文件。可以将其加载到各种路径搜索算法和优化方法上,以找到一条绕过两点之间的多边形作为切割线的路径。所提出的算法不仅显着提高了分区效率,而且使布局的恢复更加容易。然后,可以将小的不规则分区图案用于下一个布局操作:光学邻近校正(OPC)。

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