NSF award 2549745 · Georgia Tech Research Corporation

POSE: Phase I: Toward a Comprehensive and Extensible Infrastructure for Machine Learning-Driven High-Level Synthesis Design, Evaluation, and Benchmarking

Final report due

29 July 2027

in 284 days · The award ends on 31 March 2027.

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Decide about an extension1 Dec 2026in 44 days
award ending 2027-03-31 · Research.gov
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Extension request14 Feb 2027in 119 days
award ending 2027-03-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Mar 2027in 154 days
award ending 2027-03-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due29 Jul 2027in 284 days
award ending 2027-03-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due29 Jul 2027in 284 days
award ending 2027-03-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out29 Jul 2027in 284 days
award ending 2027-03-31 · 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 2027.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 29 July 2027.

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Award card

Award number: 2549745
Period of support: 1 Apr 2026 – 31 Mar 2027
Amount: $300,000
Awardee: Georgia Tech Research Corporation, Atlanta, GA
Program: POSE
Directorate: TIP

Abstract

High-Level Synthesis (HLS) is a design methodology that allows developers to create hardware systems, such as accelerators for artificial intelligence and data processing, using common programming languages. HLS improves productivity and accessibility, but fragmented tools, inconsistent evaluation practices, and the absence of shared, reproducible datasets hinder progress in HLS research and education. This project…

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