NSF award 2544452 · Cornell University

CAREER: Efficient Scheduling for Machine Learning Training and Inference via the Gittins Index

Final report due

29 July 2031

in 1,745 days · The award ends on 31 March 2031.

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award ending 2031-03-31 · Research.gov
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Extension request14 Feb 2031in 1580 days
award ending 2031-03-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Mar 2031in 1615 days
award ending 2031-03-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due29 Jul 2031in 1745 days
award ending 2031-03-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due29 Jul 2031in 1745 days
award ending 2031-03-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out29 Jul 2031in 1745 days
award ending 2031-03-31 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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NSF lists this award's end date as 31 March 2031.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 29 July 2031.

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Award card

Award number: 2544452
Period of support: 15 Apr 2026 – 31 Mar 2031
Amount: $770,070
Awardee: Cornell University, Ithaca, NY
Program: Comm & Information Foundations
Directorate: CSE

Abstract

Artificial Intelligence (AI) is becoming increasingly ubiquitous, but with that ubiquity comes a sharp increase in data center energy consumption. This project will develop new algorithms that enable highly efficient training and deployment of AI models, contributing to the United States' strategic advantage in AI capabilities. On the training side, the new algorithms will make smarter decisions about how to explore…

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