International Research Experiences for Students (IRES): Development of Global Scientists by Research Collaborations on Process Variation Characterization and Design Methodology

学生国际研究经验（IRES）：通过过程变异表征和设计方法的研究合作培养全球科学家

• 批准号: 0926278
• 负责人: Janet Roveda
• 金额: $ 15万
• 依托单位: University of Arizona
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2013-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0926278&HistoricalAwards=false
• 关键词: International; Research; Experiences; Students; IRES

OISE-0926278 University of Arizona (Wang, Janet, ?IRES: Development of Global Scientists by Research Collaborations on Process Variation Characterization and Design Methodology?)Abstract This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). The award supports participation of U.S. graduate and undergraduate students from the PI?s Mixed-Signal Nanometer VLSI Design Lab in a collaboration on the characterizations and design methodologies for integrated circuit (IC) under process variation impact. Device variability tends to spiral out of control as circuit design technology enters the nanometer design regime. Most current research on adaptive design and statistical analysis tools emphasizes that the manufactured chips match the original design specifications. Several tough issues prevent the diminution of variability. For example, how do we model the variability? How do we quantify it? How do we manage the variability that stems from irreducible complexity? Is it possible for us to make use of the variability instead of just controlling it? The proposed joint research intends to provide novel approaches to overcome these challenging obstacles. The PI and her students will collaborate with Prof. Charlie C.P. Chen from Department of Electrical Engineering, National Taiwan University, and Prof. Guanrong Chen and Prof. Wallace K.S. Tang, both at the Centre for Chaos and Complex Networks (CCCN), Department of Electronic Engineering, City University of Hong Kong. The award support four U.S. students?two undergraduates and two graduate students?each summer over the next three years to conduct the proposed joint research. The unique, open sources on process data at National Taiwan University offers first hand data to support research on the modeling and characterization of design for manufacture. The facilities of City University of Hong Kong provide an exceptional opportunity to combine the expertise of U.S, Taiwan and Hong Kong scientists in a synergistic program to elucidate the property of process variation mechanism and develop design methodologies to utilize the variability.In the first year students will exploit the idea of statistical performance to model device and gates. The newly proposed models are to be tested on 45 nm process data in cooperation with the National Taiwan University. Expected laboratory tasks include the measurements of the performance distribution and of environmental influences on IC design. Several different statistical models including the finite point model formulated at The City University of Hong Kong may be applied to the experimental measurement data. During the second year, students will investigate new strategies that employ performance oriented parameter variation reduction and provide performance bound estimation. They will test the ability of the proposed models to characterize and verify different types of mixed-signal circuits. In the third year, students are expected to integrate the above research components into a new design flow. A highly nonlinear circuit proposed by The City University of Hong Kong will provide a prototype circuit. Students will redesign the circuit using the new flow, measure and test the circuit performance, and verify the quality of design.The project will increase understanding of the statistical nature of processvariations, the impact on circuit performance, and their potential for recovery following an intelligent design algorithm. In this program, students will develop scientific hypotheses, design individual research projects, and analyze and present their results orally and in written form. They will be exposed to laboratory and field research techniques in a unique environment. The discoveries from the joint research to be undertaken will also inform the development of curriculum and fill a gap in current textbook coverage of process variation and chaotic modeling as a scholarly discipline.

OISE-0926278亚利桑那大学（王，珍妮特，？IRES：通过工艺变化表征和设计方法的研究合作培养全球科学家？）该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。该奖项支持来自PI的美国研究生和本科生的参与？的混合信号纳米超大规模集成电路设计实验室，合作研究工艺变化影响下集成电路（IC）的特性和设计方法。随着电路设计技术进入纳米设计领域，器件可变性趋于失控。目前大多数自适应设计和统计分析工具的研究强调，制造的芯片匹配原始设计规格。一些坚韧的问题阻碍了可变性的减少。例如，我们如何对可变性进行建模？我们如何量化它？我们如何管理源于不可简化的复杂性的可变性？我们有没有可能利用这种可变性，而不仅仅是控制它？拟议的联合研究旨在提供新的方法来克服这些具有挑战性的障碍。PI和她的学生将与国立台湾大学电机工程系的Charlie C. P. Chen教授以及陈冠荣教授和Wallace K.S.教授合作。Tang博士，来自香港城市大学电子工程系混沌与复杂网络研究中心（CCCN）。该奖项支持四个美国学生？两个本科生和两个研究生在未来三年的每个夏天，进行拟议的联合研究。国立台湾大学独特的开放式过程数据源提供了第一手数据，以支持制造设计的建模和表征研究。香港城市大学的设施提供了一个难得的机会，联合收割机结合美国，台湾和香港科学家的专业知识在一个协同计划，以阐明工艺变化机制的属性和开发设计方法，利用可变性。在第一年，学生将利用统计性能的想法来模拟器件和门。新提出的模型将与国立台湾大学合作在45 nm工艺数据上进行测试。预期的实验室任务包括测量性能分布和环境对IC设计的影响。几种不同的统计模型，包括香港城市大学制定的有限点模型，可以应用于实验测量数据。在第二年，学生将研究新的策略，采用性能导向的参数变化减少，并提供性能界限估计。他们将测试所提出的模型的能力，以表征和验证不同类型的混合信号电路。在第三年，学生预计将上述研究组成部分整合到一个新的设计流程。香港城市大学提出的高度非线性电路将提供原型电路。学生将使用新流程重新设计电路，测量和测试电路性能，并验证设计质量。该项目将增加对工艺变化的统计性质，对电路性能的影响以及智能设计算法后恢复的潜力的理解。在这个程序中，学生将开发科学假设，设计个人研究项目，并分析和口头和书面形式提出他们的结果。他们将在独特的环境中接触实验室和实地研究技术。联合研究的发现也将为课程的开发提供信息，并填补当前教科书中关于过程变异和混沌建模作为一门学科的空白。