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Design optimization of 16-nm bulk FinFET technology via geometric programming

机译:通过几何编程对16 nm批量FinFET技术进行设计优化

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Design rule is an important interface between design and manufacturing. It becomes more complex as the process advances to 16-nm and beyond. Current approaches to generate design rules are empirical shrink and lithographic simulation. However, it is time-consuming and costly to revise design rules for performance boost and yield improvement after design rules are frozen. Early performance gains in early design rule development without cost increase and yield loss will benefit semiconductor industry. In this work, we for the first time consider 16-nm bulk FinFET standard cell performance, yield, area, and layout style simultaneously to optimize design rules to meet ITRS by using geometric programming. Optical proximity correction, and electromagnetic field and circuit simulations are performed for objective function evaluation. The result achieves more than 100%-delay and 50%-yield improvement without area change by this systematic and statistical approach.
机译:设计规则是设计和制造之间的重要接口。随着制程发展到16纳米及以后,它将变得更加复杂。产生设计规则的当前方法是经验收缩和光刻模拟。但是,在冻结设计规则后,修改设计规则以提高性能并提高产量会耗时且成本高昂。早期设计规则开发中的早期性能提升而不会增加成本和良率损失,这将使半导体行业受益。在这项工作中,我们首次同时考虑了16纳米体积FinFET标准单元的性能,良率,面积和布局样式,以通过使用几何编程来优化设计规则以满足ITRS。进行光学邻近校正以及电磁场和电路仿真,以进行目标函数评估。通过这种系统的统计方法,结果可实现超过100%的延迟和50%的良率提高,而面积没有变化。

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