BRIGE: POWER DELIVERY TECHNOLOGIES RESEARCH AND EDUCATION DEVELOPMENT FOR FUTURE MANY-CORE COMPUTING PLATFORMS

BRIGE:未来多核计算平台的电力传输技术研究和教育开发

基本信息

  • 批准号:
    0927104
  • 负责人:
  • 金额:
    $ 17.5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2009
  • 资助国家:
    美国
  • 起止时间:
    2009-09-01 至 2014-08-31
  • 项目状态:
    已结题

项目摘要

BRIGE: POWER DELIVERY TECHNOLOGIES RESEARCH AND EDUCATION DEVELOPMENT FOR FUTURE MANY-CORE COMPUTING PLATFORMSABSTRACT:The objective of this effort is to establish innovative research and educational activities for multi-core and many-core power delivery technologies for future high performance computing platforms that are suitable for sustaining multidimensional and interdisciplinary state-of-the-art research. Multi-core and many-core chip and processor designs promise significant breakthroughs in computing platform performance that are used in critical applications in our daily lives. Such computing technologies and designs require the rethinking of power delivery technologies by defining new research directions and activities to improve energy efficiency, improve performance, and reduce size and cost. These applications, for example, include medical applications, complex weather simulations, virtual reality and advanced graphics, video conferencing, manufacturing processes controls, engineering complex analysis, education and entertainment. Such applications impact peoples' daily life, scientific advancement, economical growth, health, safety and security.Intellectual Merits: Recent chip and processor designs have started to utilize few cores and currently are powered using conventional power delivery technologies, which may be sufficient for now even though not optimum, until the research in this area advances. Future chip and processor designs are expected to include tens and hundreds of cores that can be homogeneous and/or heterogeneous with multiple non-uniform workloads. This will result in the power delivery system being subjected to highly varying and unpredictable power demands thus impacting energy efficiency and dynamic performance. This research addresses these challenges by developing an integrated simulation platform including efficiency model(s), dynamic response model(s) and homogeneous and heterogeneous many-core loading profiles model(s) that will be used to investigate and rethink power delivery design for many-core platforms. Based on the preliminary results obtained from the developed simulation platform, a reconfigurable research platform will also be developed that includes different power converter topologies, and programmable control and power management implementations supporting multiple heterogeneous and homogeneous many-core workloads.Broader Impacts: The research activities and related educational activities are designed to attract the participation of engineers from all segments of the engineering community, including those from underrepresented and minority groups such as women and African Americans, to the area of power delivery and energy systems management especially as applied to the state-of-the-art and future computing platforms that has an impact on wide range of applications and markets. Research and educational activities include research presentations and seminars at selected Historically Black Colleges and Universities institutions, the University of Alabama Student Introduction to Engineering program, and the organization of a Many-Core Power Delivery Open House Day involving industry, students, and persons from underrepresented groups. The results will also be disseminated through refereed publications and through a new course for many-core power delivery designs that will be developed and disseminated.
Brige:用于未来多核计算平台的动力传递技术研究和教育开发:这项工作的目的是为多核和多核电力输送技术建立创新的研究和教育活动,用于未来的高性能计算平台,适用于维持多维和跨学科的态度稳定的态度研究。多核和多核芯片和处理器设计有望在我们日常生活中的关键应用中使用的计算平台性能中的重大突破。这样的计算技术和设计需要通过定义新的研究方向和活动来改善能源效率,提高性能并降低规模和成本来重新思考电力传递技术。例如,这些应用程序包括医疗应用,复杂的天气模拟,虚拟现实和高级图形,视频会议,制造过程控制,工程复杂分析,教育和娱乐。这种应用会影响人们的日常生活,科学进步,经济增长,健康,安全和安全性。智能优点:最近的芯片和处理器设计已经开始利用很少的核心,目前使用常规的动力传递技术为目前的研究可能不足以达到最佳效果,直到该领域的研究中,这可能还不够。预计未来的芯片和处理器设计将包括数十个核心,这些核心可以具有均匀和/或异质性,并具有多个不均匀的工作负载。这将导致电力输送系统受到高度变化和不可预测的功率需求,从而影响能源效率和动态性能。 这项研究通过开发一个集成的仿真平台来解决这些挑战,包括效率模型,动态响应模型以及均质和异质的多核加载配置文件模型,该模型将用于调查和重新考虑多核平台的电源交付设计。 Based on the preliminary results obtained from the developed simulation platform, a reconfigurable research platform will also be developed that includes different power converter topologies, and programmable control and power management implementations supporting multiple heterogeneous and homogeneous many-core workloads.Broader Impacts: The research activities and related educational activities are designed to attract the participation of engineers from all segments of the engineering community, including those from underrepresented and minority groups such as妇女和非裔美国人,尤其是应用于最先进和未来的计算平台,对广泛的应用和市场产生影响。研究和教育活动包括研究演讲和研讨会,在选定的历史黑人学院和大学机构,阿拉巴马大学学生的工程课程介绍以及组织多核电力开放的开放日期,包括行业,学生以及来自代表性不足的群体的人。该结果还将通过被指导的出版物以及将开发和传播的多核电力交付设计的新课程进行传播。

项目成果

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Jaber Abu Qahouq其他文献

Jaber Abu Qahouq的其他文献

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{{ truncateString('Jaber Abu Qahouq', 18)}}的其他基金

PFI-TT: Development of a Battery Health and Safety Monitoring Technology with High Accuracy and Speed
PFI-TT:开发高精度、高速度的电池健康与安全监测技术
  • 批准号:
    2213918
  • 财政年份:
    2022
  • 资助金额:
    $ 17.5万
  • 项目类别:
    Standard Grant
Multi-Layer Permanent Magnets for On-Chip Miniaturized Power Inductors with High Saturation Current
用于高饱和电流片上小型功率电感器的多层永磁体
  • 批准号:
    1708690
  • 财政年份:
    2017
  • 资助金额:
    $ 17.5万
  • 项目类别:
    Standard Grant
State-of-Health Diagnosis and Early Fault Detection for Lithium-Ion Battery Systems
锂离子电池系统的健康状态诊断和早期故障检测
  • 批准号:
    1509824
  • 财政年份:
    2015
  • 资助金额:
    $ 17.5万
  • 项目类别:
    Standard Grant

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