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Tutorial: Macro-modeling for solving SOC physical design automation problems

机译:教程:用于解决SOC物理设计自动化问题的宏建模

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Large-scale combinatorial optimization problems arise in many areas. One of them is SoC Design Automation. Such problems as partitioning, packaging, placement, routing and compaction are very complex. From mathematical point of view, these problems belong to intractable combinatorial. Optimization is especially important for VLSI, SOC and NoC design. The complication of the electronic circuit requires a further search for the new robust approaches to solve such problems with high quality. New basic approaches and algorithms were developed for the hierarchical circuit clustering, partitioning, packaging, and placement by hierarchically built clusters, as well as for flexible (topological-geometric) routing.
机译:大规模组合优化问题出现在许多领域。 SoC设计自动化就是其中之一。诸如分区,包装,放置,布线和压紧之类的问题非常复杂。从数学的角度来看,这些问题属于棘手的组合。优化对于VLSI,SOC和NoC设计尤为重要。电子电路的复杂性要求进一步寻找新的鲁棒方法以高质量地解决此类问题。开发了新的基本方法和算法,用于通过分层构建的群集对分层电路进行聚类,分区,封装和放置,以及进行灵活的(拓扑几何)路由。

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