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Clustered Fault Tolerance TSV Planning for 3-D Integrated Circuits

机译:3-D集成电路的群集容错TSV规划

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In 3-D integrated circuits (3-D ICs), through silicon via (TSV) is a critical technique to provide vertical connections. However, the yield and reliability challenge of TSV in industry is one of key obstacles to adopt the 3-D ICs technology. Various fault-tolerance structures by using additional spare TSVs (s-TSVs) to repair faulty functional TSVs (f-TSVs) have been proposed in literature for yield and reliability enhancement. However, these structures are formed in standard cell placement stage where all the f-TSVs are already placed. In reality, since the s-TSVs can be only inserted into the whitespace, the quality of the generated repair solution is strongly dependent on the whitespace distribution. In this paper, we propose an efficient TSV planning and repair framework in floorplanning stage, which takes nonuniform TSV distribution and clustered TSV defect-distribution into account. The proposed framework mainly consists of four stages: 1) a whitespace redistribution algorithm that uses a probability-based strategy to make the whitespace distribution more reasonable for the f-TSV planning. Subsequently, a convex-cost flow-based model for f-TSV allocation considering the fault clustering; 2) a top-down globally partitioning combined with a bottom-up locally merging to partition f-TSVs into groups with minimum hardware cost; 3) the min-cost max-flow algorithm for s-TSV allocation with minimum wirelength overhead; and 4) an integer linear programming-based model to form a fault-tolerance structure with minimum multiplexer delay overhead. The experimental results demonstrate that the proposed repair framework can improve the yield with minimum hardware cost and multiplexer delay overhead.
机译:在3-D集成电路(3-D IC)中,硅通孔(TSV)是提供垂直连接的一项关键技术。然而,工业上TSV的良率和可靠性挑战是采用3-D IC技术的主要障碍之一。在文献中已经提出了通过使用额外的备用TSV(s-TSV)来修复故障功能性TSV(f-TSV)的各种容错结构,以提高良率和可靠性。但是,这些结构是在已放置所有f-TSV的标准单元放置阶段中形成的。实际上,由于只能将s-TSV插入空白空间,因此生成的修复解决方案的质量强烈取决于空白空间的分布。在本文中,我们提出了一个有效的TSV规划和修复框架,该框架在布局规划阶段考虑了TSV分布不均和集群TSV缺陷分布的情况。提出的框架主要包括四个阶段:1)一种空白重新分配算法,该算法使用基于概率的策略使空白分配对于f-TSV规划更为合理。随后,建立了基于凸成本流的f-TSV分配模型,该模型考虑了故障聚类。 2)自上而下的全局分区与自下而上的本地合并相结合,以最低的硬件成本将f-TSV划分为多个组; 3)用于最小化线长开销的,用于s-TSV分配的最小成本最大流算法; 4)基于整数线性规划的模型,以形成具有最小复用器延迟开销的容错结构。实验结果表明,提出的修复框架可以以最低的硬件成本和多路复用器延迟开销提高产量。

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