CSR: Small: Collaborative Research: Dynamic Reconfiguration for Adaptive Computing in Heterogeneous SoCs

CSR：小型：协作研究：异构 SoC 中自适应计算的动态重新配置

• 批准号: 1526562
• 负责人: Umit Ogras
• 金额: $ 23.97万
• 依托单位: Arizona State University
• 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
• 起止时间: 2015-10-01 至 2020-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1526562&HistoricalAwards=false
• 关键词: CSR; Small; Collaborative; Research; Dynamic

The complexity of embedded computing systems is increasing at a rapid rate due to both advances in technology and the increasing demand for complex applications. A wide variety of these systems employ multi-core architectures to keep up with the demand for performance under stringent power and thermal constraints. Adaptation to the dynamic changes in the application is critical to improve overall performance, energy efficiency as well as reliability.Although dynamic adaptation (reconfiguration) techniques have received considerable attention from various domains, they are not employed in real-time System-on-Chip (SoC) designs. This is due to the fact that real-time systems may consist of critical tasks with soft or hard deadlines, and the dynamic reconfiguration overhead may adversely affect the critical tasks. Missing deadlines may lead to performance degradation or even catastrophic failures in these systems. The proposed research will develop automated tools and techniques to address three fundamental challenges in exploiting dynamic reconfigurations in real-time multitasking systems: i) lack of a comprehensive framework that can synergistically exploit the advantages of dynamic reconfiguration of computation, communication as well as storage, ii) lack of efficient real-time scheduling techniques in the presence of dynamic reconfigurations techniques, iii) lack of dynamic reconfiguration that considers a wide variety of design and optimization constraints. Rather than focusing on one optimization objective or specific domain, this research takes a comprehensive approach by considering synergistic effects of computation, communication as well as storage to optimize overall performance, energy and reliability without violating real-time constraints.This project will make significant broader impact in several fronts. The proposed approaches can enable a wide range of energy-efficient and low-cost embedded systems. Reduction in energy consumption directly relates to significant improvements in operating lifetime for battery powered mobile devices. Similarly, reduction in temperature improves system reliability. Embedded systems with dynamic reconfiguration capabilities will have two major impacts. One being low-cost and high-quality everyday appliances for the public, and the other is improved efficiency of safety-critical devices such as biomedical and military equipment.

由于技术的进步和对复杂应用的需求的增加，嵌入式计算系统的复杂性正在快速增加。这些系统中有很多采用多核架构，以满足严格的功耗和散热限制下的性能需求。动态自适应技术是提高系统整体性能、能量效率和可靠性的关键技术，虽然动态自适应（重构）技术受到了广泛的关注，但在实时片上系统（SoC）设计中尚未得到应用。这是由于实时系统可能由具有软或硬截止日期的关键任务组成，并且动态重新配置开销可能对关键任务产生不利影响。错过最后期限可能会导致这些系统的性能下降，甚至灾难性的故障。拟议的研究将开发自动化工具和技术，以解决在实时多任务系统中利用动态重新配置的三个基本挑战：i）缺乏可以协同地利用计算、通信以及存储的动态重新配置的优点的综合框架，ii）在存在动态重新配置技术的情况下缺乏有效的实时调度技术，iii）缺乏考虑各种各样的设计和优化约束的动态重新配置。本研究不局限于某一个优化目标或特定领域，而是综合考虑计算、通信和存储的协同效应，在不违反实时约束的前提下优化整体性能、能耗和可靠性，将在多个领域产生更广泛的影响。所提出的方法可以实现广泛的节能和低成本的嵌入式系统。能量消耗的减少直接涉及电池供电的移动的设备的工作寿命的显著改善。同样，温度的降低提高了系统的可靠性。具有动态重新配置能力的嵌入式系统将产生两大影响。 一个是为公众提供低成本和高质量的日常用品，另一个是提高生物医学和军事设备等安全关键设备的效率。