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Collaborative Research: Energy Efficient Thermal Design of Heterogeneous System with Active Cooling

Collaborative Research: Energy Efficient Thermal Design of Heterogeneous System with Active Cooling
合作研究:主动冷却异构系统节能热设计
批准号:
1028569
负责人:
Satish Kumar
金额:
$32.57万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-09-01 至 2014-08-31

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中文摘要
翻译
这项研究的目的是通过实现基于热电的主动冷却来有效控制芯片上的热场来管理和消除热点并最小化时空温度梯度,从而在异质系统的节能热设计方面取得重大进展。该方法以整体建模和3D仿真框架为中心,将传感器设计、动态控制原理、热流体模型和设备优化模型紧密结合在一起。智力优势:这项研究集成了电子设备、热物理和固态冷却技术,以开发基于物理的集成3D框架。该集成框架将开发分布式传感器驱动的实时反馈方法,以按需激活片上主动冷却,并为消除3D异质系统中的主动冷却瓶颈确立指导原则。这项研究将导致热电器件性能的优化,并开发系统级传感和控制原理,以在不同的系统中实现高效的主动冷却。广泛的影响:片上主动冷却的传感和控制方法以及辅助器件优化方法预计将对节能电子系统和软件工具链的发展产生革命性影响。这项研究将通过开发研究生课程和准备“热点管理”示范教程来整合教育,该教程将发布在NanHUB.org上。本科生将通过暑期本科生研究奖学金计划和探索公园本科生研究实习计划获得建议。参与促进非裔美国学生在工程和科学领域的学术生涯,以及为少数族裔提供暑期本科生研究经验,将有助于代表人数较少的少数族裔参与研究计划。
英文摘要
The objective of this research is to make major advances in the energy-efficient thermal design of heterogeneous systems by enabling thermo-electric-based active cooling for efficient control of on-chip thermal field to manage and eliminate hotspots and minimize spatiotemporal thermal gradients. The approach is centered on a holistic modeling and 3D simulation framework that strongly couples the sensor design, dynamic control principles, thermo-fluidics model, and device optimization model. Intellectual Merit: The research integrates techniques from electronic devices, thermal physics, and solid state cooling for the development of a physics-based integrated 3D framework. This integrated framework will develop distributed sensor-driven, real-time feedback methods to activate on demand active cooling on chip and establish guiding principles for eliminating the bottlenecks of active cooling in 3D heterogeneous system. The research will lead to optimized thermoelectric device properties and develop system-level sensing and control principles for enabling efficient active cooling in a heterogeneous system.Broader Impacts: The sensing and control methods for active cooling on chip and assisted device optimization methods are expected to have a transformative impact on the development of energy-efficient electronic systems and software tool chains. The research will integrate education through graduate course development and preparation of a model tutorial on 'Hot spot management,' which will be posted on nanoHUB.org. Undergraduate students will be advised through the Summer Undergraduate Research Fellowship program and the Discovery Park Undergraduate Research Internship program. Participation in Facilitating Academic Careers in Engineering and Science for African-American students and Summer Undergraduate Research Experience for minorities will facilitate involvement of underrepresented minorities in the research program.
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