Computer-Aided Design for High-Performance Large-Scale Integrated Circuits

高性能大规模集成电路的计算机辅助设计

基本信息

  • 批准号:
    RGPIN-2020-04186
  • 负责人:
  • 金额:
    $ 2.84万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Discovery Grants Program - Individual
  • 财政年份:
    2021
  • 资助国家:
    加拿大
  • 起止时间:
    2021-01-01 至 2022-12-31
  • 项目状态:
    已结题

项目摘要

With the deployment of electronics across the modern economy, there is a need to ensure the reliability of electronic devices and systems in a wide range of sectors. Integrated Circuits (ICs, or simply "chips") are subject to degradation and aging due to a number of failure mechanisms that can lead to chip failure, possibly months or years after deployment. We focus specifically on electromigration (EM) in metal lines, a failure mechanism that causes metal lines on a chip to degrade and fail under high current density. The impact of EM has gotten worse with the shrinking dimensions of modern IC technology. My group develops computer-aided design (CAD) tools to ensure chip robustness in the face of EM degradation. Traditional methods of EM checking are based on empirical models and involve checking the current densities in metal lines against specifications that are technology-specific, rather than design-specific. These methods are easy to use and have served the industry well, but have become inadequate for modern IC technology. Among other things, a key failing of these methods is that they cannot track the movement of metal atoms across metal branches, leading to much reduced accuracy. In our previous work, we have developed an efficient approach for physics-based (rather than empirical) EM checking, based on simulation of the mechanical stress that develops in metal lines under high current density. This allows us to track the movement of metal atoms across different branches in large multi-branch metal structures, providing significant accuracy improvement. We have thus developed the first-ever EM stress simulator [IRPS-19], which was recognized with a Best Paper Award in ICCAD-2016. However, stress simulation is more time-consuming than a simple current density check, so more work is required before these advances can be transferred to the industry. This project aims to address this need, with a key innovative approach for current constraints generation. This would involve formulating and solving the inverse of the stress simulation problem, and promises to deliver high-impact solutions to both the research community and the industry. In the simulation approach, a simulator takes in the given input current specifications and provides the mechanical stress over time. Instead, given a safety limit on the stress everywhere in a metal network, we propose to generate constraints on the branch currents which, if guaranteed by design, would ensure that the stress remains safe during the specified chip lifetime. One can then simply check during design if the branch current densities satisfy the generated current constraints. The overall approach would effectively translate the EM lifetime specification into a specification of branch current constraints that are both technology and design specific. It would combine the accuracy of stress-based analysis with the speed and simplicity of a current density check; it would be the best of both worlds.
随着电子产品在现代经济中的部署,需要确保广泛部门的电子设备和系统的可靠性。集成电路(ic,或简称“芯片”)在部署几个月或几年之后,由于许多故障机制可能导致芯片故障,因此会受到退化和老化的影响。我们特别关注金属线中的电迁移(EM),这是一种导致芯片上的金属线在高电流密度下退化和失效的失效机制。随着现代集成电路技术尺寸的不断缩小,EM的影响越来越严重。我的团队开发计算机辅助设计(CAD)工具,以确保芯片在面对EM退化时的稳健性。传统的电磁检测方法是基于经验模型的,涉及根据特定技术规范检查金属线中的电流密度,而不是特定设计。这些方法易于使用,并已服务于行业良好,但已成为不适合现代集成电路技术。除此之外,这些方法的一个关键缺点是它们不能跟踪金属原子在金属分支上的运动,导致精度大大降低。在我们之前的工作中,我们已经开发了一种基于物理(而不是经验)EM检查的有效方法,该方法基于高电流密度下金属线中产生的机械应力的模拟。这使我们能够在大型多分支金属结构中跟踪金属原子在不同分支上的运动,从而显著提高精度。因此,我们开发了有史以来第一个电磁应力模拟器[IRPS-19],并在ICCAD-2016上获得了最佳论文奖。然而,应力模拟比简单的电流密度检查更耗时,因此在将这些进步应用于工业之前,还需要做更多的工作。该项目旨在解决这一需求,采用一种关键的创新方法来产生当前的约束。这将涉及制定和解决应力模拟问题的逆过程,并有望为研究界和工业界提供高影响力的解决方案。在模拟方法中,模拟器接受给定的输入电流规格,并提供随时间变化的机械应力。相反,考虑到金属网络中无处不在的应力的安全限制,我们建议对支路电流产生约束,如果通过设计保证,将确保应力在指定的芯片寿命期间保持安全。然后可以在设计期间简单地检查支路电流密度是否满足生成的电流约束。整体方法将有效地将EM寿命规范转换为技术和设计特定的支路电流约束规范。它将把基于应力的分析的准确性与当前密度检查的速度和简单性结合起来;这将是两全其美。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Najm, Farid其他文献

Najm, Farid的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Najm, Farid', 18)}}的其他基金

Computer-Aided Design for High-Performance Large-Scale Integrated Circuits
高性能大规模集成电路的计算机辅助设计
  • 批准号:
    RGPIN-2020-04186
  • 财政年份:
    2022
  • 资助金额:
    $ 2.84万
  • 项目类别:
    Discovery Grants Program - Individual
Computer-Aided Design for High-Performance Large-Scale Integrated Circuits
高性能大规模集成电路的计算机辅助设计
  • 批准号:
    RGPIN-2020-04186
  • 财政年份:
    2020
  • 资助金额:
    $ 2.84万
  • 项目类别:
    Discovery Grants Program - Individual
Computer-Aided Design for High-Performance Large-Scale Integrated Circuits
高性能大规模集成电路的计算机辅助设计
  • 批准号:
    RGPIN-2015-03759
  • 财政年份:
    2019
  • 资助金额:
    $ 2.84万
  • 项目类别:
    Discovery Grants Program - Individual
NSERC/Intel Industrial Research Chair in Programmable Silicon
NSERC/英特尔可编程芯片工业研究主席
  • 批准号:
    418003-2016
  • 财政年份:
    2019
  • 资助金额:
    $ 2.84万
  • 项目类别:
    Industrial Research Chairs
Computer-Aided Design for High-Performance Large-Scale Integrated Circuits
高性能大规模集成电路的计算机辅助设计
  • 批准号:
    RGPIN-2015-03759
  • 财政年份:
    2018
  • 资助金额:
    $ 2.84万
  • 项目类别:
    Discovery Grants Program - Individual
Computer-Aided Design for High-Performance Large-Scale Integrated Circuits
高性能大规模集成电路的计算机辅助设计
  • 批准号:
    RGPIN-2015-03759
  • 财政年份:
    2017
  • 资助金额:
    $ 2.84万
  • 项目类别:
    Discovery Grants Program - Individual
Computer-Aided Design for High-Performance Large-Scale Integrated Circuits
高性能大规模集成电路的计算机辅助设计
  • 批准号:
    RGPIN-2015-03759
  • 财政年份:
    2016
  • 资助金额:
    $ 2.84万
  • 项目类别:
    Discovery Grants Program - Individual
Computer-Aided Design for High-Performance Large-Scale Integrated Circuits
高性能大规模集成电路的计算机辅助设计
  • 批准号:
    RGPIN-2015-03759
  • 财政年份:
    2015
  • 资助金额:
    $ 2.84万
  • 项目类别:
    Discovery Grants Program - Individual
Computer-aided design for advanced large-scalre integrated circuits
先进大规模集成电路的计算机辅助设计
  • 批准号:
    227362-2010
  • 财政年份:
    2014
  • 资助金额:
    $ 2.84万
  • 项目类别:
    Discovery Grants Program - Individual
Computer-aided design for advanced large-scalre integrated circuits
先进大规模集成电路的计算机辅助设计
  • 批准号:
    227362-2010
  • 财政年份:
    2013
  • 资助金额:
    $ 2.84万
  • 项目类别:
    Discovery Grants Program - Individual

相似海外基金

CAREER: SmartCAD: Shaping The Next Revolution in Computer-Aided Design
职业生涯:SmartCAD:塑造计算机辅助设计的下一场革命
  • 批准号:
    2339249
  • 财政年份:
    2024
  • 资助金额:
    $ 2.84万
  • 项目类别:
    Continuing Grant
Conference: 10th International Conference on Foundations of Computer Aided Process Design (FOCAPD-2024): Designing for the Future Digital and Carbon Neutral Economy
会议:第十届计算机辅助过程设计基础国际会议(FOCAPD-2024):为未来数字和碳中和经济设计
  • 批准号:
    2413592
  • 财政年份:
    2024
  • 资助金额:
    $ 2.84万
  • 项目类别:
    Standard Grant
SBIR Phase I: Methods for Embedding User Data into 3D Generative AI Computer-aided-Design Models
SBIR 第一阶段:将用户数据嵌入 3D 生成式 AI 计算机辅助设计模型的方法
  • 批准号:
    2335491
  • 财政年份:
    2024
  • 资助金额:
    $ 2.84万
  • 项目类别:
    Standard Grant
SBIR Phase II: Computer Aided Design Toolkit for Desktop Digital Fabrication of Circuits on Paper
SBIR 第二阶段:用于纸上电路桌面数字制造的计算机辅助设计工具包
  • 批准号:
    2233004
  • 财政年份:
    2023
  • 资助金额:
    $ 2.84万
  • 项目类别:
    Cooperative Agreement
Computer-aided design and development of isoform selective inhibitors of Casein Kinase 1
酪蛋白激酶 1 异构体选择性抑制剂的计算机辅助设计和开发
  • 批准号:
    10629703
  • 财政年份:
    2023
  • 资助金额:
    $ 2.84万
  • 项目类别:
Cheminformatics and Machine Learning approaches for GPCR Computer Aided Drug Design
GPCR 计算机辅助药物设计的化学信息学和机器学习方法
  • 批准号:
    BB/X511778/1
  • 财政年份:
    2023
  • 资助金额:
    $ 2.84万
  • 项目类别:
    Training Grant
Optimisation of Plastic Packaging through Computer Aided Design - Part 2
通过计算机辅助设计优化塑料包装 - 第 2 部分
  • 批准号:
    10059224
  • 财政年份:
    2023
  • 资助金额:
    $ 2.84万
  • 项目类别:
    Collaborative R&D
SBIR Phase I: Computer Aided Design and Simulation Software for Origami
SBIR 第一阶段:折纸计算机辅助设计和仿真软件
  • 批准号:
    2233133
  • 财政年份:
    2023
  • 资助金额:
    $ 2.84万
  • 项目类别:
    Standard Grant
Computer aided drug design using natural products
使用天然产物的计算机辅助药物设计
  • 批准号:
    2882944
  • 财政年份:
    2023
  • 资助金额:
    $ 2.84万
  • 项目类别:
    Studentship
Cheminformatics and Machine Learning approaches for GPCR Computer-Aided Drug Design
GPCR 计算机辅助药物设计的化学信息学和机器学习方法
  • 批准号:
    2866047
  • 财政年份:
    2023
  • 资助金额:
    $ 2.84万
  • 项目类别:
    Studentship
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了