CAREER: A Synergistic CAD Framework for Nanometer Design and Process Integration
CAREER: A Synergistic CAD Framework for Nanometer Design and Process Integration
批准号:
0644316
负责人:
David Pan
金额:
$41.02万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-09-01 至 2015-08-31
中文摘要
题目:职业:纳米设计和工艺集成的协同CAD框架pi: David PanInstitution: UT austin摘要:经过40年的摩尔定律,半导体行业正面临着前所未有的设计和制造挑战。目前业界仍将193nm光刻技术作为集成电路制造工艺的主导地位,而45nm、32nm甚至22nm技术节点的主导地位可能还会持续至少5年。深亚波长光刻的一个突出特点是其邻近性和版面依赖效应。据估计,光刻和设计相关的良率损失可能占纳米设计中总良率损失的80%或更多。然而,从建模到优化,在现有的设计流中并没有很好地捕捉到它。这个项目将发展一个协同的计算机辅助设计(CAD)框架,使整体设计和过程集成成为可能。它将通过开发一套面向设计但可感知变化的制造/良率模型,以及使用预测性虚拟硅图像进行几何和电气表征,来解决良率损失的根本原因。因此,它将有助于消除产量分析和优化的大量不确定性。同时,在建模框架的指导下,将在不同的抽象层次上开发新的CAD算法,并对多目标设计/制造优化进行架构探索。该项目将进一步研究纳米光刻和混合CMOS/后CMOS工艺等新兴技术的设计和工艺集成问题。该项目的综合教育部分将在这个高度交叉和重要的领域培养多样化的学生,电路设计,CAD和制造的交叉和共同发展为学生提供了一个接触多个工程学科的绝佳机会。整体而言,该项目旨在填补设计/CAD和制造/工艺之间的关键空白,以进一步扩展摩尔定律的规模和经济效益。
英文摘要
Proposal ID: 0644316Title: CAREER: A Synergistic CAD Framework for Nanometer Design and ProcessIntegrationPI: David PanInstitution: UT AustinAbstract:After four decades of Moore's Law empowered by CMOS scaling, the semiconductor industry is facing unprecedented design and manufacturing challenges. The industry is stuck with the 193nm optical lithography as the dominant integrated circuit manufacturing process, which is likely to remain so for at least another 5 years, for 45nm, 32nm, and even 22nm technology nodes. A prominent feature of the deep sub-wavelength lithography is its proximity, layout-dependent effect. It is estimated that the lithography and design-related yield losses may contribute to 80% or more of the total yield loss in nanometer designs. However, it is not well captured in existing design flows, from modeling to optimization. This project will develop a synergistic computer aided design (CAD) framework that enables holistic design and process integration. It will resort to the root causes of yield losses by developing a set of design-oriented yet variation-aware manufacturing/yield models, as well as geometrical and electrical characterizations using predictive virtual silicon images. Thus it will help to eliminate significant amount of uncertainties for yield analysis and optimization. Meanwhile, guided by the modeling framework, novel CAD algorithms will be developed at various abstraction levels and architecture explorations will be performed for multi-objective design/manufacturing optimizations. The project will further investigate design and process integration issues for emerging technologies such as nanolithography and hybrid CMOS/post-CMOS processes.The integrated education component of the project will train a diverse body of students in this highly crosscutting and important area, where the intersection and co-evolution of circuit design, CAD and manufacturing create an excellent opportunity for exposing students to multiple engineering disciplines. Taken together in a holistic manner, this project aims at filling the critical gaps between design/CAD and manufacturing/process to further extend the scaling and economic benefits of the Moore's Law.
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