CSR: Medium: Collaborative Research: Providing Predictable Timing for Task Migration in Embedded Multi-Core Environments (TiME-ME)
CSR: Medium: Collaborative Research: Providing Predictable Timing for Task Migration in Embedded Multi-Core Environments (TiME-ME)
批准号:
0905181
负责人:
Frank Mueller
金额:
$39.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-09-01 至 2014-08-31
中文摘要
保证当代多核架构的嵌入式任务的最后期限变得越来越困难。实时调度依赖于任务迁移,以利用多核,但迁移实际上降低了时间的可预测性,由于缓存预热开销和增加互连traffic.This工作促进了一个从根本上新的方法来增加时间的可预测性的多核架构,旨在任务迁移在嵌入式环境中作出三个主要贡献:1。开发新的战略,以指导迁移的基础上,利用静态和动态分析的成本/效益权衡。设计机制以增加任务迁移下的时间可预测性,为跨核及其缓存的主动和被动实时数据移动提供明确的支持。促进速率和带宽的自适应机制,以及监测能力,以增加可预测性下task migration.The工作的目的是启动一个新的研究方向调查的好处,硬件和软件之间的相互作用,嵌入式多核定时可预测性。 该项目从根本上有助于安全和关键任务嵌入式系统的设计和开发的研究和教育基础设施。
英文摘要
Assuring deadlines of embedded tasks for contemporary multicore architectures is becoming increasingly difficult. Real-time scheduling relies on task migration to exploit multicores, yet migration actually reduces timing predictability due to cache warm-up overheads and increased interconnect traffic.This work promotes a fundamentally new approach to increase the timing predictability of multicore architectures aimed at task migration in embedded environments making three major contributions:1. The development of novel strategies to guide migration based on cost/benefit tradeoffs exploiting both static and dynamic analyses.2. The devising of mechanisms to increase timing predictability under task migration providing explicit support for proactive and reactive real-time data movement across cores and their caches.3. The promotion of rate- and bandwidth-adaptive mechanisms as well as monitoring capabilities to increase predictability under task migration.The work aims at initiating a novel research direction investigating the benefits of interactions between hardware and software for embedded multicores with respect to timing predictability. This project fundamentally contributes to the research and educational infrastructure for the design and development of safety- and mission-critical embedded systems.
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