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CNS Core: Small: Managing Electrical and Thermal Energy in Sustainable Computing Systems

CNS Core: Small: Managing Electrical and Thermal Energy in Sustainable Computing Systems
CNS 核心:小型:管理可持续计算系统中的电能和热能
批准号:
2230143
负责人:
David Irwin
金额:
$32.6万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-10-01 至 2024-09-30

项目摘要

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中文摘要
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英文摘要
Sustainable computing systems operate on zero-carbon renewable energy harvested from their environment, such as solar or wind, and stored in batteries. Importantly, renewable-powered systems may be deployed in many different climates that subject them to a wide range of ambient temperatures that significantly alter the efficiency and correctness of these systems' underlying components, including their processors, batteries, solar cells, and clocks. Unfortunately, current systems are either designed for a narrow and ideal temperature range, and thus are often unreliable under even slight temperature variations, or must consume significant additional energy to maintain an ideal temperature within a narrow window, which significantly reduces their energy-efficiency. To address the problem, this project proposes fundamental research on the design of sustainable renewable-powered systems that are ectothermic in that they jointly manage and adapt to variations in the electrical and thermal energy available in their environment to optimize their energy-efficiency, performance, and reliability. While the temperature responses of individual system components are well-known, ectothermic design takes a holistic systems approach that exploits relationships between components and their environment to co-optimize system-wide energy-efficiency, correctness, performance, and reliability. To this end, this project will develop methods for understanding, modeling, and exploiting the dependencies between computation, heat generation, the ambient environment, renewable energy availability, and the workload. This project includes numerous broader impacts. The project has the potential for significant societal impact and positively address the climate concerns of computing by improving the energy-efficiency, correctness, performance, and reliability of sustainable renewable-powered computer systems. Our project also has the potential for technical impact by improving the design of renewable-powered systems at all scales--from small embedded platforms to large data centers. This project plans to engage in multiple educational activities, including giving tutorials that focus on the relationship between computing and energy consumption at UMass summer programs for high school students in engineering and computing, and integrating ectothermic design into graduate and undergraduate courses. Finally, the project will emphasize the recruitment of students from under-represented groups in computing.This proposal is funded in part from the DCL on Design for Sustainability in Computing (NSF-22-060)This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(2)
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会议论文
Jointly Managing Electrical and Thermal Energy in Solar- and Battery-powered Computer Systems
联合管理太阳能和电池供电计算机系统中的电能和热能
DOI: 10.1145/3575813.3595191
发表时间: 2023
期刊: 14th ACM International Conference on Future Energy Systems
影响因子: --
作者: [Bashir, Noman, Chandio, Yasra, Irwin, David, Anwar, Fatima M., Gummeson, Jeremy, Shenoy, Prashant]
通讯作者: Shenoy, Prashant
HoloSet - A Dataset for Visual-Inertial Pose Estimation in Extended Reality: Dataset
HoloSet - 扩展现实中视觉惯性姿态估计的数据集:数据集
DOI: 10.1145/3560905.3567763
发表时间: 2022
期刊: ACM Conference on Embedded Networked Sensor Systems
影响因子: --
作者: [Chandio, Yasra, Bashir, Noman, Anwar, Fatima M.]
通讯作者: Anwar, Fatima M.
REU Site: Computing for an Equitable Energy Transition
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