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不断增长，嵌入式计算系统的复杂性正在以迅速的速度增加。各种各样的系统采用多核架构来跟上在严格的功率和热约束下对性能的需求。适应应用程序的动态变化对于提高整体性能，能源效率和可靠性至关重要。尽管动态适应（重新配置）技术已经从各个领域受到了极大的关注，但它们并未在实时的系统芯片（SOC）设计中使用。这是由于实时系统可能包括具有软截止日期或硬期限的关键任务，而动态重新配置开销可能会对关键任务产生不利影响。缺少截止日期可能会导致这些系统中的性能退化甚至灾难性失败。拟议的研究将开发自动化工具和技术，以应对实时多任务系统中动态重新配置的三个基本挑战：i）缺乏一个可以协同利用动态调整的动态调整，沟通以及缺乏实时时间表的动态技术的动态调节的全面框架，以相互利用的优势，ii）在实时时间表中缺乏实时的调整，II）在实时时间表方面，在实时的时间表中，在实时范围内无效，在实时的技术方面，在实时的技术中，在实时范围内，无需在实时的方面依次，在实时的方案中，无需在实时范围内实现在实时的工作，而在实时的沟通中缺乏在实时的范围内，则在实时范围内无效，在实时的范围内，在实时的沟通中缺乏实时的范围。动态重新配置，考虑了各种各样的设计和优化约束。这项研究不是专注于一个优化目标或特定领域，而是通过考虑计算的协同效应，通信以及存储来优化整体性能，能源和可靠性而不违反实时约束，从而采取了全面的方法。该项目将在多个方面产生更大的影响。所提出的方法可以实现广泛的节能和低成本嵌入式系统。能源消耗的降低直接涉及电池供电的移动设备的运营寿命的显着改善。同样，温度降低可提高系统的可靠性。具有动态重新配置功能的嵌入式系统将产生两个重大影响。 一个是公众的低成本和高质量的日常用具，另一个是生物医学和军事设备等安全至关重要设备的提高效率。