CPA-DA: Robust Performance Characterization in Complex VLSI Design Under Variations
CPA-DA: Robust Performance Characterization in Complex VLSI Design Under Variations
批准号:
0811082
负责人:
Azadeh Davoodi
金额:
$0.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-09-01 至 2011-08-31
中文摘要
题目:复杂VLSI设计中的鲁棒性能表征PI名称:Davoodi, Azadeh机构:University of wisconsin - madison摘要:集成电路的设计受到纳米级制造工艺缺陷的严重影响。这些缺陷转化为器件特性及其相互连接的变化。随着技术进一步缩小到45纳米以下的领域,这些变化往往变得更加随机,更不系统。只有部分统计信息可能知道这些变化,如他们的平均值,方差和范围。此外,根据分层设计流程的阶段,芯片上组件可变性的相关性可能部分已知。考虑到这些部分信息,在设计过程中需要进行稳健的性能评估,以获得更多的可预测性。一个可靠的预测应该包括与部分可用的可变性数据相匹配的所有情景。PI建议研究两种基于统计和优化的方法的新应用,用于VLSI电路性能的鲁棒建模。PI建议在设计流程的不同阶段调查这些方法对大型电路尺寸和大量模对模和模内变化的适用性。所提出的研究的成功实施允许更可预测的设计流程,通过缩短设计周期,从而加快上市时间,可以为下一代集成电路的开发做出重大贡献。减少上市时间可以防止主要制造业每月损失5-10%。此外,PI计划开发研究生水平的课程,这可能会吸引计算机工程领域以外的学生,以满足他们在威斯康星大学麦迪逊分校的中学和辅修领域的要求。这项研究将催化PI?通过鼓励女性学习计算机工程并将其作为职业,无论是在工业界还是学术界,来增加工程领域的多样性。
英文摘要
Proposal No: 811082Title: Robust Performance Characterization in Complex VLSI Design Under Variations PI name: Davoodi, Azadeh Institution: University of Wisconsin-MadisonABSTRACT:Design of Integrated Circuits is highly impacted by the imperfections of the nano-scale manufacturing process. These imperfections translate into variations in the characteristics of devices and their interconnections. These variations tend to become more random and less systematic as technology further scales down into sub-45nm domain. Only partial statistical information might be known about these variations, such as their average, variance and range. Furthermore, depending on the stage in the hierarchical design flow, correlations in the variability of the components on the chip may be partially known. Given this partial information, robust performance estimation is required to obtain more predictability during the design process. A robust prediction should include all scenarios that match with the partially available variability data. The PI proposes to investigate the novel applications of two statistical and optimization-based approaches for robust modeling of the performance of VLSI circuits. The PI suggests investigating the applicability of these approaches for large circuit sizes and large number of die-to-die and within-die variations at different stages of the design flow.Successful implementation of the proposed research allows a more predictable design flow which can make a significant contribution in the development of next generation Integrated Circuits by shortening design cycles, thereby allowing a faster time-to-market. Reducing the time-to-market can prevent losses of 5-10% magnitude per month in major manufacturing industries. In addition, the PI plans development of a graduate-level course which will likely appeal to the students outside the Computer Engineering area towards meeting their secondary and minor area requirements, at the University of Wisconsin-Madison. This research will catalyze the PI?s efforts to increase the diversity in engineering by encouraging women to study computer engineering and choose it as a career, either at industry or academia.
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会议论文
SHF: Small: Explainable Machine Learning for Better Design of Very Large Scale Integrated Circuits
-
批准号:2322713
-
项目类别:Standard Grant
-
资助金额:$59.98万
-
财政年份:2023
-
负责人:Azadeh Davoodi
-
依托单位:
SHF: Small: Synthesis of Complex Deep Neural Networks on Distributed Resource-Constrained Devices
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批准号:2006394
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项目类别:Standard Grant
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资助金额:$49.99万
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财政年份:2020
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负责人:Azadeh Davoodi
-
依托单位:
SaTC: STARSS: Small: Analysis of Security and Countermeasures for Split Manufacturing of Integrated Circuits
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批准号:1812600
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项目类别:Standard Grant
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资助金额:$31.22万
-
财政年份:2018
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负责人:Azadeh Davoodi
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依托单位:
SHF: Small: Bridging the Gap Between Global and Detailed Routing of Integrated Circuits
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批准号:1608040
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项目类别:Standard Grant
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资助金额:$40.0万
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财政年份:2016
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负责人:Azadeh Davoodi
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依托单位:
CAREER: Automation Tools for Post-Silicon Debug of Timing Errors in Integrated Circuits
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批准号:1053496
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项目类别:Continuing Grant
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资助金额:$40.15万
-
财政年份:2011
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负责人:Azadeh Davoodi
-
依托单位:
SHF:Small:Parallel ILP-Based Global Routing on A Grid of Multi-Cores
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批准号:0914981
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项目类别:Standard Grant
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资助金额:$19.0万
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财政年份:2009
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负责人:Azadeh Davoodi
-
依托单位:
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