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Quadratic timing objectives for incremental timing-driven placement optimization

机译:二次时序目标,用于增量时序驱动的布局优化

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In this work, two quadratic formulations for incremental timing-driven placement are proposed. We include the delay model formulation into the quadratic function objective. Our timing-driven quadratic techniques perform path smoothing by optimizing the distance of neighbor critical pins and balance wire load capacitance in the critical nets by reducing their total quadratic length. In our incremental quadratic techniques, the previous placement solution is kept unchanged by using the linear system neutralization operation before solving it. Our incremental quadratic timing-driven placement flow outperforms the state-of-art results by 9.4% and 7.6%, on average, regarding WNS and TNS improvement for late timing violation, respectively.
机译:在这项工作中,提出了两种用于时序驱动的增量式二次方程式。我们将延迟模型公式包含在二次函数目标中。我们的时序驱动二次方技术可通过优化相邻关键引脚的距离来执行路径平滑,并通过减少关键二次方的总二次边长来平衡关键网络中的线负载电容。在我们的增量二次技术中,通过在解决之前使用线性系统中和运算,可以使先前的放置解决方案保持不变。我们的增量二次时序驱动布局流分别比最新的WNS和TNS改进(针对迟时序违规)的平均性能高出9.4%和7.6%。

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