NSF award 2610649 · William Marsh Rice University

Collaborative Research: SHF: Small: Reimagining Communication Bottlenecks in GNN Acceleration through Collaborative Locality Enhancement and Compression Co-Design

Final report due

28 January 2028

in 467 days · The award ends on 30 September 2027.

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award ending 2027-09-30 · Research.gov
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No-cost extension notice20 Sep 2027in 337 days
award ending 2027-09-30 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Jan 2028in 467 days
award ending 2027-09-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Jan 2028in 467 days
award ending 2027-09-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Jan 2028in 467 days
award ending 2027-09-30 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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So the final report is due by 28 January 2028.

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Award card

Award number: 2610649
Period of support: 1 Jan 2026 – 30 Sep 2027
Amount: $300,000
Awardee: William Marsh Rice University, Houston, TX
Program: Software & Hardware Foundation
Directorate: CSE

Abstract

The digital revolution has generated a vast volume of interconnected data, often represented as graphs, which is pertinent to numerous critical real-world applications. This has led to the increasing prevalence of Graph Neural Networks (GNNs), a technique that extends the benefits of Artificial Intelligence (AI) to graph-based applications. GNNs hold promising potential to significantly impact society, from…

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