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Non-Uniform Yield Optimization for Integrated Circuit Layout Considering Global Interactions

机译:考虑全局相互作用的集成电路布图非均匀成品率优化

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In a previous work we have shown a yield optimization metric and a technique that considers the effects of several types of yield enhancement methods for a given layout. Those findings suggested that it is important to consider two types of yield tradeoffs, local tradeoffs where addressing one yield loss mechanism degrades others in the immediate vicinity of the correction (local optimization window), and global tradeoffs where the net effect of the correction can be fully accounted only when considering neighboring optimization windows. Such conclusion was derived from the fact that the locally optimized layouts did not completely realize the theoretically optimal yield, which was obtained from the assumption that global tradeoffs could be fully resolved. This work focuses in the contribution that such global tradeoffs have on the final yield score when accounted properly during the optimization.While the previous work focused only in selecting the corrections that locally improved the yield score, this work evaluates the global interactions before and after a change, and the correction is only accepted if it improves the global score. While the global optimization requires a more expensive computational process, the intention of this work is to determine how close the optimal layout can be from its theoretical limit. Since the optimization is performed and evaluated under four different types of processes in which the failure mechanisms vary in relative importance, it is possible to derive conclusions as to the need of considering global effects when trading off runtime requirements with quality of the correction.
机译:在先前的工作中,我们展示了良率优化指标和一种考虑给定布局的几种良率增强方法的效果的技术。这些发现表明,重要的是要考虑两种类型的收益权衡,一种是在解决校正时(局部优化窗口)附近解决一种收益损失机制会使其他收益降低的局部权衡,另一种是可以在净收益为校正的情况下进行全局权衡。仅在考虑相邻的优化窗口时才充分考虑。该结论是基于以下事实得出的:局部优化的布局并未完全实现理论上的最佳收益,这一假设是从可以完全解决全球权衡的假设得出的。这项工作的重点是在优化过程中正确考虑时,此类全球权衡对最终收益得分的贡献。 虽然先前的工作仅专注于选择局部提高了收益分数的更正,但这项工作评估了更改前后的整体交互作用,并且只有在改善整体得分时才接受更正。虽然全局优化需要更昂贵的计算过程,但这项工作的目的是确定最佳布局与其理论极限之间的距离。由于优化是在四种不同类型的过程中执行和评估的,其中故障机制的相对重要性有所不同,因此可以在权衡运行时间要求和校正质量的情况下得出需要考虑全局影响的结论。

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