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Building block style recipes for productivity improvement in OPC, RET and ILT flows

机译:构建块样式配方,用于OPC,RET和ILL流程的生产力改进

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Traditional model-based Optical Proximity Correction (OPC) and rule-based Resolution Enhancement Technology (RET) methods have been the workhorse mask synthesis methods in volume production for logic and memory devices for more than 15 years. Rule-based OPC methods have been in standard use for over 20 years now. With continuous technical enhancements, these methods have proven themselves robust, flexible and fast enough to meet many of the technical needs of even the most advanced nodes. Inverse Lithography Technology (ILT) methods are well known to have strong benefits in finding flexible mask pattern solutions to improve process window for the most advanced design locations where traditional methods are not sufficient. However, OPC/RET requirements at each node have changed radically in the last 20 years beyond just technical requirements. The volume of engineering work to be done has also skyrocketed. The number of device layers which need OPC/RET can be 10X higher than in earlier nodes. Additionally, the number of mask layers per device layer is often 2X or more times higher with multiple patterning. Finally, the number of features to correct per mask increases ~2X with each node. These factors led to a large increase in the number of OPC engineers needed to develop the complex new OPC/RET recipes for advanced nodes. In this paper, we describe new developments which significantly improve the productivity of OPC engineers to deploy Rule Based OPC (RBOPC), Model Based OPC (MBOPC), AF, and ILT recipes in modern manufacturing flows. In addition to technical improvements such as novel multiple segment hot-spot fixing solvers and ILT hot-spot fixing necessary to support correction needs, we have re-architected the entire flow based on how OPC engineers now develop and maintain OPC/RET recipes. The re-architecture of the flow takes advantages of more recent developments in modular and structured programming methods which are known to benefit ease engineering software development applications. Therefore, this improved OPC/RET development methodology includes specifically targeted advanced new technical functions; new types of modular structures for much faster reuse of customizations; and new interfaces to flexible programming capabilities to enable easier development and integration of deep customizations for the most challenging technical needs.
机译:基于传统的基于模型的光学接近校正(OPC)和基于规则的分辨率增强技术(RET)方法是逻辑和存储器设备的批量生产中的Workhorse掩模合成方法,超过15年。基于规则的OPC方法已经标准使用了20多年。通过持续的技术增强,这些方法已经证明了自己坚固,灵活且足够快,以满足即使是最先进的节点的许多技术需求。富有光刻技术(ILT)方法是众所周知的,在寻找灵活的掩模模式解决方案时具有强大的好处,以改善传统方法的最先进设计位置的过程窗口。然而,在每个节点的OPC / RET要求在最近20年内发生了差张,超出了技术要求。要完成的工程工作量也会飙升。需要OPC / RET的设备层数量可以比早期节点高10倍。另外,通过多个图案化,每个设备层的掩模层的数量通常较高2倍或更多倍。最后,每个掩码正确纠正的功能数量增加了每个节点的〜2x。这些因素导致开发复杂新OPC / RET配方的OPC工程师数量的大量增加。在本文中,我们描述了新的开发,从而提高了OPC工程师的生产率,以便在现代制造流程中部署基于规则的OPC(RBOPC),基于模型的OPC(MBOPC),AF和ILT配方。除了新颖的多段热点固定求解器等技术改进之外,我们还基于OPC工程师现在如何开发和维护OPC / RET食谱来重新归档整个流程。该流程的重新架构利用更新的模块化和结构化编程方法的开发,该方法是已知的,可享受简化工程软件开发应用程序。因此,这种改进的OPC / RET开发方法包括专门针对先进的新技术功能;新型的模块化结构,以更快地重用自定义;为灵活的编程功能进行新的接口,以便更容易地开发和整合深度自定义,以满足最具挑战性的技术需求。

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