NSF award 2449990 · University of California-Riverside

Collaborative Research: SHF: Small: Designing and Optimizing Tiny Vector Symbolic Architectures for Ultra-Efficient Inference on Tiny Devices

Final report due

28 January 2029

in 833 days · The award ends on 30 September 2028.

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award ending 2028-09-30 · Research.gov
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award ending 2028-09-30 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice20 Sep 2028in 703 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Jan 2029in 833 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Jan 2029in 833 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Jan 2029in 833 days
award ending 2028-09-30 · 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 September 2028.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 January 2029.

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Award card

Award number: 2449990
Period of support: 1 Oct 2025 – 30 Sep 2028
Amount: $280,000
Awardee: University of California-Riverside, Riverside, CA
Program: Software & Hardware Foundation
Directorate: CSE

Abstract

Despite the advances in deep neural networks (DNNs) and edge computing, there exist substantial challenges to enabling end-to-end DNN inference on a full spectrum of edge devices, such as tiny wearables and low-cost Internet-of-things (IoT) devices. This problem has spurred the recent studies of brain-inspired vector symbolic representation (VSA) classifiers as an alternative framework for ubiquitous on-device…

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