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首页> 外文期刊>ACM Transactions on Design Automation of Electronic Systems >Yield Improvement for 3D Wafer-to-Wafer Stacked ICs Using Wafer Matching
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Yield Improvement for 3D Wafer-to-Wafer Stacked ICs Using Wafer Matching

机译:利用晶圆匹配技术提高3D晶圆对晶圆堆叠IC的良率

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摘要

Three-Dimensional Stacked IC (3D-SIC) using Through-Silicion Vias (TSVs) is an emerging technology that provides heterogeneous integration, higher performance, and lower power consumption compared to traditional ICs. Stacking 3D-SICs usingWafer-to-Wafer (W2W) has several advantages such as high stacking throughput, high TSV density, and the ability to handle thin wafers and small dies. However, it suffers from low-compound yield as the stacking of good dies on bad dies and vice versa cannot be prevented. This article investigates wafer matching as a means for yield improvement. It first defines a complete wafer matching framework consisting of different scenarios, each a combination of a matching process (defines the order of wafer selection), a matching criterion (defines whether good or bad dies are matched), wafer rotation (defines either wafers are rotated or not), and a repository type. The repository type specifies whether either the repository is filled immediately after each wafer selection (i.e., running repository) or after all wafers are matched (i.e., static repository). A mapping of prior work on the framework shows that existing research has mainly explored scenarios based on static repositories. Therefore, the article analyzes scenarios based on running repositories. Simulation results show that scenarios based on running repositories improve the compound yield with up to 13.4% relative to random W2W stacking; the improvement strongly depends on the number of stacked dies, die yield, repository size, as well as on the used matching process. Moreover, the results reveal that scenarios based on running repositories outperform those of static repositories in terms of yield improvement at significant runtime reduction (three orders of magnitude) and lower memory complexity (from exponential to linear in terms of stack size).
机译:使用直通硅穿孔(TSV)的三维堆叠式IC(3D-SIC)是一项新兴技术,与传统IC相比,它提供了异构集成,更高的性能和更低的功耗。使用晶圆对晶圆(W2W)堆叠3D-SIC具有多个优势,例如高堆叠吞吐量,高TSV密度以及处理薄晶圆和小芯片的能力。但是,由于良模具在不良模具上的堆叠,反之亦然,因此其产量低。本文研究了晶圆匹配作为提高良率的一种手段。它首先定义了一个完整的晶圆匹配框架,该框架由不同的场景组成,每个场景都包含一个匹配过程(定义晶圆选择的顺序),一个匹配标准(定义匹配的是好晶粒还是坏晶粒),晶圆旋转(定义两个晶圆是否匹配)的组合。是否旋转),以及存储库类型。储存库类型指定是在每次选择晶片之后立即填充储存库(即,运行中的储存库)还是在匹配所有晶片之后(即静态储存库)。对该框架的先前工作的映射表明,现有研究主要研究了基于静态存储库的方案。因此,本文基于运行的存储库分析方案。仿真结果表明,相对于随机W2W堆叠,基于运行存储库的方案可将复合收率提高多达13.4%。改进很大程度上取决于堆叠模具的数量,模具良率,存储库大小以及所使用的匹配过程。此外,结果表明,基于运行存储库的方案在显着减少运行时(三个数量级)和降低内存复杂性(就堆栈大小而言从指数到线性)方面,在产量方面要优于静态存储库。

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