Simulation and Performance Optimization of Large-Scale Systems in the Presence of Uncertainties

存在不确定性的大型系统的仿真和性能优化

• 批准号: RGPIN-2017-06368
• 负责人: Nakhla, Michel
• 金额: $ 5.1万
• 依托单位: Carleton University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=712214
• 关键词: Simulation; Performance; Optimization; Large; Scale

The rapid evolution of the global electronic industry is unceasingly introducing new products operating at ever higher frequencies and bitrates. At such high data rates, high-frequency effects become the dominant factor limiting the overall performance of microelectronic systems. In addition, the fast rising demand for multifunction and miniature products warrants integration of heterogeneous circuit modules. As a result, the traditional boundaries between different design domains are fast vanishing. Moreover, variability of the geometrical and physical parameters and its effect on the system performance is adding another major concern. This uncertainty becomes inevitable at all levels of the design hierarchy. For example, manufacturing uncertainties can significantly influence the performance of on-chip interconnects, leading to timing variations that can propagate to the circuit or board level with negative impact on the whole system performance and yield. The research proposal calls for a paradigm shift in the development of the underlying design algorithms and methodologies by promoting “Design for Uncertainties” as a major ingredient in the design process. As a step towards this goal, several of the planned research activities are focused on the development of specialized stochastic algorithms to model and simulate the underlying statistical information at different levels of the design hierarchy. In addition, systematic methods will be developed to incorporate these algorithms in the design cycle to achieve optimal design centering. The planned research addresses generic strategic issues common to high-speed applications and will advance the state-of-art in a broad spectrum of interrelated topics. The success of the proposed research will provide designers with the ability to efficiently plan and design large-scale systems that are not currently feasible; resulting in superior and more reliable multi-function electronic and communication products. In addition, the benefits of the proposed research are not limited to the design of high-speed electronic systems since large-scale and uncertainty quantification challenges are common issues in several other fields within engineering and science.

的 全球电子产业的快速发展不断引入 以更高的频率和比特率运行的新产品。在如此高 数据速率，高频效应成为限制 微电子系统的整体性能。此外， 对多功能和微型产品的需求保证了 异构电路模块。因此，传统的边界 不同的设计领域正在迅速消失。此外， 几何和物理参数及其对系统性能的影响， 增加了另一个主要问题。这种不确定性在各个层面都变得不可避免 设计层次结构。例如，制造业的不确定性可能 显著影响片上互连的性能，导致 定时变化可以传播到电路或板级， 对整个系统的性能和产量产生负面影响。研究 一项提案要求在基础设计的开发中进行范式转换 算法和方法，促进“设计的Understanding”作为一个主要的 设计过程中的要素。作为实现这一目标的一步， 计划中的研究活动侧重于开发专门的 随机算法来建模和模拟潜在的统计 信息在设计层次结构的不同级别。此外，本发明还提供了一种方法， 将开发系统的方法，将这些算法纳入 设计周期以实现最佳设计居中。计划中的研究 解决了高速应用中常见的一般性战略问题， 在广泛的相互关联的主题中推进最新技术水平。的 拟议研究的成功将为设计师提供能力， 有效地规划和设计大型系统， 可行的;导致上级和更可靠的多功能电子和 通信产品。此外，拟议研究的好处不是 限于高速电子系统的设计，因为大规模和 不确定性量化挑战是其他几个领域的常见问题 在工程和科学中。