Award Abstract # 2230143
CNS Core: Small: Managing Electrical and Thermal Energy in Sustainable Computing Systems

NSF Org: CNS
Division Of Computer and Network Systems
Recipient: UNIVERSITY OF MASSACHUSETTS
Initial Amendment Date: August 29, 2022
Latest Amendment Date: August 29, 2022
Award Number: 2230143
Award Instrument: Standard Grant
Program Manager: Marilyn McClure
mmcclure@nsf.gov
 (703)292-5197
CNS
 Division Of Computer and Network Systems
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: October 1, 2022
End Date: September 30, 2025 (Estimated)
Total Intended Award Amount: $325,965.00
Total Awarded Amount to Date: $325,965.00
Funds Obligated to Date: FY 2022 = $325,965.00
History of Investigator:
  • David Irwin (Principal Investigator)
    irwin@ecs.umass.edu
  • Jeremy Gummeson (Co-Principal Investigator)
  • Fatima Anwar (Co-Principal Investigator)
Recipient Sponsored Research Office: University of Massachusetts Amherst
101 COMMONWEALTH AVE
AMHERST
MA  US  01003-9252
(413)545-0698
Sponsor Congressional District: 02
Primary Place of Performance: University of Massachusetts Amherst
COMMONWEALTH AVE
AMHERST
MA  US  01003
Primary Place of Performance
Congressional District:
02
Unique Entity Identifier (UEI): VGJHK59NMPK9
Parent UEI: VGJHK59NMPK9
NSF Program(s): Information Technology Researc,
CSR-Computer Systems Research
Primary Program Source: 01002223DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 7923
Program Element Code(s): 164000, 735400
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070

ABSTRACT

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.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Nasrullah, Adeel and Anwar, Fatima M "HAEST: Harvesting Ambient Events to Synchronize Time across Heterogeneous IoT Devices" , 2024 https://doi.org/10.1109/RTAS61025.2024.00029 Citation Details
Bashir, Noman and Chandio, Yasra and Irwin, David and Anwar, Fatima M. and Gummeson, Jeremy and Shenoy, Prashant "Jointly Managing Electrical and Thermal Energy in Solar- and Battery-powered Computer Systems" 14th ACM International Conference on Future Energy Systems , 2023 https://doi.org/10.1145/3575813.3595191 Citation Details
Chandio, Yasra and Bashir, Noman and Anwar, Fatima M. "HoloSet - A Dataset for Visual-Inertial Pose Estimation in Extended Reality: Dataset" ACM Conference on Embedded Networked Sensor Systems , 2022 https://doi.org/10.1145/3560905.3567763 Citation Details
Nasrullah, Adeel and Anwar, Fatima M "Trusted Timing Services with Timeguard" , 2024 https://doi.org/10.1109/RTAS61025.2024.00009 Citation Details

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