NSF award 2543556 · Johns Hopkins University

CAREER: From Redundancy to Efficiency -- Scalable, Observable Multicast for AI Datacenters

Final report due

28 February 2027

in 133 days · The award ends on 31 October 2026.

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No-cost extension notice21 Oct 2026in 3 days
award ending 2026-10-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Feb 2027in 133 days
award ending 2026-10-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Feb 2027in 133 days
award ending 2026-10-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Feb 2027in 133 days
award ending 2026-10-31 · 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 October 2026.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 February 2027.

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Award card

Award number: 2543556
Period of support: 1 Jul 2026 – 31 Oct 2026
Amount: $700,000
Awardee: Johns Hopkins University, Baltimore, MD
Program: Networking Technology and Syst
Directorate: CSE

Abstract

Artificial intelligence systems rely on large groups of computers working together, but communication between these machines is becoming a major bottleneck. Today, many systems send the same data repeatedly between machines, which wastes time, energy, and network capacity. This project develops new ways for computers to share information more efficiently by using multicast, a method that allows one machine to send…

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