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SHF: Small: Physics-Based Electromigration Assessment and Validation For Reliability-Aware Design and Management

SHF: Small: Physics-Based Electromigration Assessment and Validation For Reliability-Aware Design and Management
SHF:小型:基于物理的电迁移评估和验证,用于可靠性设计和管理
批准号:
1527324
负责人:
Sheldon Tan
金额:
$45.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-06-15 至 2020-05-31

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中文摘要
翻译
长期可靠性已成为集成电路(IC)芯片设计的重大挑战,用于当今的计算机和智能手机。在许多影响中,电迁移引起的可靠性已成为主要的限制因素,由于积极的晶体管缩放和不断增加的功率密度。在这个项目中,PI提出通过在电路级和系统级提供更准确的电迁移模型和评估技术来解决IC可靠性问题,以便在设计阶段和运行阶段充分考虑、利用和优化电迁移引起的可靠性和老化效应,以最低的设计成本提高芯片可靠性和寿命。此外,通过与行业伙伴的合作,所建议的技术有望影响设计和工具开发社区,从而提高设计生产力。该项目还使该机构能够从代表性不足的群体中雇用学生,从而增强科技劳动力的多样性。该项目旨在开发新的基于物理的电迁移模型和全芯片评估技术,在设计阶段进行准确而有效的电迁移验证模型验证,并在纳米IC芯片运行时强制执行电迁移感知可靠性管理。首先,研究将开发新的物理精确的电迁移模型,以更好地预测多分支互连树的平均失效时间,这在IC芯片中很常见,包括空洞成核和空洞生长阶段。其次,该项目将开发能够适应时变温度和电流密度的电迁移模型,由于单线和多支路互连树的时变负载,该模型反映了更真实的芯片工作状态。除此之外,项目团队还将开发基于资源的电迁移模型,该模型更适合系统级运行时可靠性优化和管理。
英文摘要
Long-term reliability has become a significant challenge for design of integrated circuit (IC) chips used in today's computers and smart phones. Among many effects, electromigration-induced reliability has become the dominant limiting factor due to aggressive transistor scaling and increasing power density. In this project, the PI proposes to address IC reliability problems by providing more accurate electromigration models and assessment techniques at both circuit level and system level so that electromigration induced reliability and aging effects can be fully accounted, leveraged and optimized at both the design stage and run time stage to improve chip reliability and their lifetime at minimum design costs. Furthermore, through the collaborations with the industry partners, the proposed techniques are expected to impact the design and tool development community, thus increasing design productivity. This project also enables the institution to hire students from underrepresented groups, thus enhancing the diversity of science and technology workforce.The project seeks to develop new physics-based electromigration models and full-chip assessment techniques, to perform model validation for accurate yet efficient electromigration verification at the design stage, and to enforce electromigration-aware reliability management at run time for nanometer IC chips. First, the research will develop new physics-accurate electromigration models to better predict mean time to failure for multi-branch interconnect trees, which are commonly seen in IC chips, for both void nucleation and void growth phases. Second, the project will develop electromigration models that can accommodate time-varying temperature and current densities, which reflect a more realistic chip working condition due to time-varying loads for both single wire and multi-branch interconnect trees. On top of this, the project team will develop resource-based electromigration models, which are more amenable to the system-level run-time reliability optimization and management.
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