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Power-driven simultaneous resource binding and floorplanning: a probabilistic approach

机译:动力驱动的同时资源绑定和布局规划:一种概率方法

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Floorplanning information is integrated during resource binding for better modeling of the interconnect effects on timing and power. Although this integration improves the estimation of the interconnect effects, nonavailability of exact net-lengths can result in suboptimal solutions, because global routing is not yet performed. In this work we propose a probabilistic approach to integrate floorplanning and resource binding by modeling the distribution of the net-lengths from a given floorplan. The advantage of this approach is that a probabilistic technique can better capture the inaccuracy associated with net-length estimation, and consequently, the inaccuracy in estimation of net-delay and net-power. The result is higher chance of successful synthesis, and therefore faster timing closure. Additionally, due to better management of uncertainty, it has a better overall post-synthesis power. These results are illustrated in our experiments that were conducted using state of the art commercial and academic tools.
机译:在资源绑定期间集成了布局规划信息,以更好地建模互连对时序和功率的影响。尽管这种集成改进了对互连效果的估计,但由于尚未执行全局路由,因此无法使用精确的网络长度可能会导致解决方案不理想。在这项工作中,我们提出了一种概率模型,该模型通过对给定平面图中的净长度分布进行建模来集成平面规划和资源绑定。这种方法的优势在于,一种概率技术可以更好地捕获与网络长度估计相关的不准确性,因此可以准确地估计网络延迟和净功率。结果是成功合成的机会更高,因此时序收敛更快。此外,由于更好地管理不确定性,因此具有更好的整体后合成能力。这些结果在我们使用最先进的商业和学术工具进行的实验中得到了说明。

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