Collaborative Research: Eliminating the Energy Efficiency Barrier of Reconfigurable Architectures for Diverse Signal Processing in Mobile Devices

合作研究：消除移动设备中多样化信号处理的可重构架构的能效障碍

• 批准号: 1201877
• 负责人: Tong Zhang
• 金额: $ 25万
• 依托单位: Rensselaer Polytechnic Institute
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-06-01 至 2016-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1201877&HistoricalAwards=false
• 关键词: Collaborative; Research; Eliminating; Energy; Efficiency

Objective: The objective of this program is to cohesively use coarse-grained reconfigurable devices and highly-scalable non-volatile memory technologies to fundamentally improve energy efficiency in future mobile devices. The new device architecture provides the capability to dynamically exploit significant run-time computational workload variation and large algorithm design freedom inherent in most signal processing tasks, effectively enabling just-enough computation. The approach embraces the memory-intensive and time-varying nature of many signal processing tasks, which can be leveraged to reduce overall system energy consumption. In addition, these approaches make it feasible to apply aggressive run-time power management on reconfigurable architectures to minimize static energy consumption. To fully evaluate the potential of these new opportunities, a comprehensive design methodology including circuits, architectures, compiler, and run-time system is used. Intellectual Merit: The intellectual merit of this research lies in the cohesive integration and use of a coarse-grained reconfigurable device which includes interfaces to high-density non-volatile memory technology. This interface is exploited at the system level to dynamically adapt computation-intensive signal processing applications for significant energy savings. Broader Impacts: The broader impacts of this project are: 1) enhancement to graduate curricula in embedded systems and integrated circuit design, 2) application of the new technologies in the NSF-sponsored Engineering Research Center for Collaborative and Adaptive Sensing of the Atmosphere (CASA), 3) research infrastructure dissemination for education and training, and 4) outreach to high school students. The proposed architecture will enable future mobile devices to continue to track their historic performance and functionality scaling by supporting energy efficiency.

目的：该计划的目标是紧密结合使用粗粒度可重构设备和高度可扩展的非易失性存储器技术，从根本上提高未来移动的设备的能源效率。新的器件架构提供了动态利用大多数信号处理任务中固有的显著运行时计算工作量变化和大算法设计自由度的能力，有效地实现了足够的计算。该方法包含许多信号处理任务的存储密集型和时变性质，可以利用这些特性来降低整个系统的能耗。此外，这些方法使得它可行的应用积极的运行时电源管理上的可重构架构，以最大限度地减少静态能耗。为了充分评估这些新的机会的潜力，一个全面的设计方法，包括电路，架构，编译器和运行时系统。智力优势：这项研究的智力价值在于内聚集成和使用粗粒度的可重构设备，其中包括高密度非易失性存储器技术的接口。该接口在系统级被利用，以动态地适应计算密集型信号处理应用，从而实现显著的节能。更广泛的影响：该项目的更广泛的影响是：1）增强嵌入式系统和集成电路设计的研究生课程，2）在NSF赞助的合作和自适应大气传感工程研究中心（CASA）中应用新技术，3）研究基础设施传播教育和培训，以及4）向高中生推广。所提出的架构将使未来的移动的设备能够通过支持能源效率来继续跟踪其历史性能和功能扩展。