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Layer-Aware Design Partitioning for Vertical Interconnect Minimization

机译:垂直互连最小化的可感知层的设计分区

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Three-dimensional (3D) design technology, which has potential to significantly improve design performance and ease heterogeneous system integration, has been extensively discussed in recent years. This emerging technology allows stacking multiple layers of dies and typically resolves the vertical inter-layer connection issue by through-silicon vias (TSVs). However, TSVs also occupy significant silicon estate as well as incur reliability problems. Therefore, the deployment of TSVs must be very judicious in 3D designs. In this paper, we propose an iterative layer-aware partitioning algorithm, named iLap, for TSV minimization in 3D structures. iLap iteratively applies multi-way min-cut partitioning to gradually divide a given design layer by layer in the bottom-up fashion. Meanwhile, iLap also properly fulfills a specific I/O pad constraint incurred by 3D structures to further improve its outcome. Experimental results show that iLap can reduce the number of TSVs by about 35% as compared to several existing state-of-the-art methods. We believe a good TSV-minimized 3D partitioning solution can serve as a good starting point for further tradeoff operations between TSV count and wirelength.
机译:近年来,人们广泛讨论了具有显着提高设计性能和简化异构系统集成潜力的三维(3D)设计技术。这项新兴技术允许堆叠多个管芯,并通常通过硅通孔(TSV)解决垂直层间连接问题。但是,TSV还占据了大量硅片资源,并引发了可靠性问题。因此,在3D设计中必须非常明智地部署TSV。在本文中,我们提出了一种名为iLap的迭代层感知分区算法,用于3D结构中的TSV最小化。 iLap反复应用多路最小切割分区,以自下而上的方式逐层逐步划分给定的设计。同时,iLap还可以适当满足3D结构所产生的特定I / O填充约束,以进一步改善其结果。实验结果表明,与几种现有的最先进方法相比,iLap可以将TSV的数量减少约35%。我们相信,一个将TSV最小化的良好3D分区解决方案可以作为在TSV数量和线长之间进行进一步折衷操作的良好起点。

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