NSF award 2543593 · Carnegie Mellon University

CAREER: Automated Machine Learning Compilation for Emerging Models and Platforms

Final report due

28 August 2031

in 1,775 days · The award ends on 30 April 2031.

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Decide about an extension31 Dec 2030in 1535 days
award ending 2031-04-30 · Research.gov
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Extension request16 Mar 2031in 1610 days
award ending 2031-04-30 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice20 Apr 2031in 1645 days
award ending 2031-04-30 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Aug 2031in 1775 days
award ending 2031-04-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Aug 2031in 1775 days
award ending 2031-04-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Aug 2031in 1775 days
award ending 2031-04-30 · 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 30 April 2031.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 August 2031.

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Award card

Award number: 2543593
Period of support: 1 May 2026 – 30 Apr 2031
Amount: $680,000
Awardee: Carnegie Mellon University, Pittsburgh, PA
Program: Software & Hardware Foundation
Directorate: CSE

Abstract

As artificial intelligence becomes ubiquitous in our daily lives, there is a critical need to cost-effectively deploy AI models to diverse environments, such as data centers, smartphones, and web browsers. This project aims to bring a new AI/ML compiler toolchain to help accelerate and automate AI deployments. The project’s novelties are: i) a unified way to represent optimizations in AI models, ii) bringing AI…

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