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首页> 外文期刊>Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on >Co-Optimization of Circuits, Layout and Lithography for Predictive Technology Scaling Beyond Gratings
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Co-Optimization of Circuits, Layout and Lithography for Predictive Technology Scaling Beyond Gratings

机译:电路,布局和光刻的协同优化,以实现超出光栅的预测技术扩展

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摘要

The financial backbone of the semiconductor industry is based on doubling the functional density of integrated circuits every two years at fixed wafer costs and die yields. The increasing demands for 'computational' rather than 'physical' lithography to achieve the aggressive density targets, along with the complex device-engineering solutions needed to maintain the power density objectives, have caused a rapid escalation in systematic yield limiters that threaten scaling. Specifically, the traditional contract between design and manufacturing based solely on design rules is no longer sufficient to guarantee functional silicon and instead requires a convoluted set of restrictions that force complex modifications to the already costly design flows. In this paper, we claim that a far superior result can be achieved by moving the design-to-manufacturing interface from design rules to a higher level of abstraction based on a defined set of pre-characterized layout templates. We will demonstrate how this methodology can simplify optical proximity correction and lithography processes for sub-32 nm technology nodes, along with various digital block design examples for synthesized intellectual property (IP) cores. Furthermore, with a cost-per-good-die analysis we will show that this methodology will extend economical scaling to sub-32 nm technology nodes.
机译:半导体行业的金融支柱基于每两年以固定的晶圆成本和管芯成品率使集成电路的功能密度加倍。为了实现激进的密度目标,对“计算”光刻而不是“物理”光刻的需求不断增长,再加上维持功率密度目标所需的复杂器件工程解决方案,已导致系统良率限制器的迅速升级,从而威胁到规模化。具体而言,仅基于设计规则进行设计与制造之间的传统合同已不足以保证功能性硅,而需要一系列复杂的限制条件,以迫使对已经昂贵的设计流程进行复杂的修改。在本文中,我们声称通过基于定义的一组预特征化布局模板将设计到制造的界面从设计规则移动到更高的抽象水平,可以实现更好的结果。我们将展示该方法学如何简化32纳米以下技术节点的光学接近度校正和光刻工艺,以及用于合成知识产权(IP)内核的各种数字模块设计示例。此外,通过每片成本的分析,我们将证明该方法将经济地扩展到32纳米以下的技术节点。

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