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: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=691566
• 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.*** *** ******

*全球电子行业的快速发展正在不断推出*以越来越高的频率和比特率运行的新产品。在如此高的数据速率下，高频效应成为限制微电子系统整体性能的主要因素。此外，对多功能和微型产品的需求快速增长，需要集成各种不同的电路模块。因此，不同设计领域之间的传统界限正在迅速消失。此外，几何和物理参数的可变性及其对系统性能的影响是另一个主要问题。这种不确定性在设计层次的所有级别*都不可避免。例如，制造不确定性可能会“显著影响片上互连的性能”，导致“时序变化”传播到电路或电路板级别，从而对整个系统的性能和成品率产生“负面影响”。这项研究*提案呼吁通过将“面向不确定性的设计”作为设计过程中的一个主要组成部分来推动基础设计*算法和方法论的开发的范式转变。作为迈向这一目标的一步，几项*计划的研究活动侧重于开发专门的*随机算法，以模拟和模拟设计层次不同层次上的基本统计*信息。此外，还将开发系统的方法，将这些算法整合到设计周期中，以实现最佳设计中心。计划中的研究*解决了高速应用中常见的通用战略问题，并将*在广泛的相互关联的主题中推进最先进的技术。拟议研究的成功将使设计者能够有效地规划和设计目前尚不可行的大规模系统，从而生产出更好、更可靠的多功能电子和通信产品。此外，拟议研究的好处并不局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工程和科学中其他几个领域的常见问题。