NSF award 2622103 · University of Notre Dame

EAGER: From Mitigation to Exploitation: A Cross-Layer Co-Design Framework for Robust In-Memory Computing

Final report due

29 December 2028

in 803 days · The award ends on 31 August 2028.

GrantClerk is a private service. We are not NSF or any government agency.

Dates this award owes

NSF emails you about this too.

Decide about an extension3 May 2028in 563 days
award ending 2028-08-31 · Research.gov
This one is ours, not NSF’s.
Extension request17 Jul 2028in 638 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Aug 2028in 673 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due29 Dec 2028in 803 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due29 Dec 2028in 803 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out29 Dec 2028in 803 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

Annual report dates come from the budget period on your award notice. That date is not public, so it is not shown here.

How we got this date

NSF lists this award's end date as 31 August 2028.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 29 December 2028.

Read the rule on Research.gov

Get a note before each report date

Add this award to your desk. We email you before each date and keep the dates in one place.

Renews each year until you cancel. Cancel any time from your account.

Already a member? Sign in

Award card

Award number: 2622103
Period of support: 15 Sep 2026 – 31 Aug 2028
Amount: $295,771
Awardee: University of Notre Dame, Notre Dame, IN
Program: Software & Hardware Foundation
Directorate: CSE

Abstract

Conventional computers must move data from the memory units to the process units to perform computations. For data-intensive applications such as artificial intelligence (AI), this data movement often consumes much more time and energy than the computation itself. In-memory computing (IMC), an emerging computing paradigm, addresses this challenge by performing computation directly within memory, offering the…

Is this right?

We copy this from the public NSF award record. Your award notice and NSF always win. If a date looks wrong, check Research.gov.