CNS:CSR:Small: Leakage-Aware Temperature-Constrained Real-Time Scheduling

泄漏感知的温度约束实时加密这个项目的动机是最近出现的两个挑战，在计算机系统的设计-不断上升的温度和显着增加的泄漏功耗在IC电路-威胁到阻碍未来几代的计算系统。计算机芯片的温度随着快速增长的功耗而增加。与此同时，高芯片温度急剧增加泄漏功率，这是成为一个主要组成部分，在今天的整体功耗？的亚微米IC电路。温度和泄漏之间的这种正反馈回路加剧了设计挑战，不仅是功率/能量最小化问题，而且是温度约束设计问题。本研究旨在解决温度和功耗/能耗问题，使用实时调度技术，重点是温度和泄漏功耗之间的相互作用。该项目研究系统级热模型，该模型可以高精度地捕获温度-泄漏相互依赖性，同时保持足够简单以进行正式的系统级分析。 该研究旨在开发和验证单处理器和多处理器平台下新颖有效的实时调度技术，该研究具有重大社会影响的潜力，减轻了实时嵌入式计算系统向亚微米尺度发展的关键障碍。 这项研究产生了减少能耗和提高计算机系统的可靠性和寿命的技术（从而降低成本和提高可靠性）。在这个项目中开发的系统级模型和技术不仅将使计算机科学家和研究人员受益，而且也将使许多其他学科和研究领域的人员受益。此外，该项目为本科生和研究生提供了丰富的研究课题和学习机会。 该项目力求通过外联活动，从目前在这一领域代表性不足的群体中招收学生，扩大参与研究的机会。

Leakage-Aware Temperature-Constrained Real-Time SchedulingThis project is motivated by two recently emerged challenges in design of computer systems---the escalating temperature and the dramatically increased leakage power consumption in IC circuits---that threaten to handicap future generations of computing systems. The temperature of a computer chip increases in tandem with rapidly growing power consumption. At the same time, high chip temperature drastically increases leakage power, which is becoming a major component in the overall power consumption in today?s sub-micron IC circuits. This positive feedback loop between temperature and leakage exacerbates the design challenge, not only the power/energy minimization problem but also the temperature-constrained design problem. This research seeks to address the temperature and power/energy consumption problem using real-time scheduling techniques, with a focus on the interplay between temperature and leakage power consumption. This project studies system-level thermal models that can capture the temperature-leakage interdependency with high accuracy while remaining simple enough for formal system level analysis. The research seeks to develop and validate novel and effective real-time scheduling techniques under both single and multiple processor platforms.This research has the potential for significant societal impact, mitigating a critical barrier to the evolution of real-time embedded computing systems to sub-micron scales. This research yields techniques for reducing energy consumption and enhancing reliability and lifetime of computer systems (hence reducing cost and increasing dependability). The system-level models and techniques developed in this project will not only benefit computer scientists and researchers but those from many other disciplines and research domains as well. Furthermore, this project provides abundant research topics and learning opportunities for both undergraduate and graduate students. The project seeks to broaden opportunities for participation in research through outreach to recruit students from groups currently underrepresented in this field.