Project Grant 2321123
Award Date
9/1/23
Completion Date
8/31/25
Dollars Obligated
$300K
Federal Agency
Office of Advanced Cyberinfrastructure
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Merced, CA 95343, USA
Similar Awards
This Project Grant from the National Science Foundation's $201,262 Computer and Information Science and Engineering program (CFDA 47.070) supports the development of interactive training materials and workshops on deep learning systems and applications in advanced GPU cyberinfrastructure. The University of North Texas will lead the effort in collaboration with Southern Illinois University Carbondale from December 1, 2022 to November 30, 2024.
Under the award, the University of North Texas...
This $131,959 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research conducted by Rutgers, The State University to develop new deep learning training methods that can efficiently scale to utilize high-performance computing (HPC) systems. The key goals are to: 1) Explore techniques like second-order information approximation, computation-communication tradeoffs, and data compression to enhance the speed...
The University of Southern California was awarded a two-year, $175,000 Project Grant from the National Science Foundation Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering federal grant program (CFDA 47.070).
The grant will support research into improving the scalability of deep learning methods on high-performance computing systems through an I/O-centric approach. The Computer and Information Science and Engineering program aims to advance...
This $221,138 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) is funding research to reform profiling techniques to guide systemic performance tuning for GPU-accelerated deep learning workloads. The project aims to address inefficiencies in the layered complexity of deep learning models by advancing state-of-the-art profiling techniques to enable systemic performance tuning across all layers - from...
The National Science Foundation awarded a $198,308 Project Grant to the University of California, Merced under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to support research titled "COLLABORATIVE RESEARCH: SHF: SMALL: TOWARDS ROBUST DEEP LEARNING COMPUTING ON GPUS" from October 1, 2021 to September 30, 2024. The grant funding will support investigator-initiated research and education activities to advance the development and use of...
The National Science Foundation (NSF) awarded a $359,615 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of California, San Diego (UCSD) for the "COLLABORATIVE RESEARCH: FRAMEWORKS: HPCGPT: ENHANCING COMPUTING CENTER USER SUPPORT WITH HPC-ENRICHED GENERATIVE AI" project. This 3-year effort, starting August 1, 2024, aims to develop HPCGPT, a question answering service that leverages generative AI and integrates...
The University of California, Davis (UC Davis) has been awarded a $249,998 Project Grant by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to establish interactive and integrated training for building high-performance ethical artificial intelligence (AI) systems. The project will create three interdisciplinary training programs spanning philosophy, ethical AI, and high-performance computing (HPC) to fill the gap between...
The National Science Foundation (NSF) awarded a $174,200 Project Grant under its Computer and Information Science and Engineering (CFDA 47.070) program to the University of North Carolina at Chapel Hill (UNC-CH) to develop new resource allocation policies for optimizing the scheduling of parallelizable machine learning (ML) training workloads on shared hardware clusters. The goal is to enable the rapid and efficient training of highly accurate ML models using limited computing resources. This...
The National Science Foundation (NSF) awarded a $1,000,000 Project Grant under the Computer and Information Science and Engineering (CISE) Federal Grant Program to the University of California, Merced (UC Merced). The grant, titled "CC* REGIONAL COMPUTING: CENVAL-ARC: CENTRAL VALLEY ACCESSIBLE RESEARCH AND COMPUTATIONAL HUB", aims to enhance research and educational opportunities in the historically underserved Central Valley region of California by providing advanced computing...
This federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program provides $300,000 to Cornell University to develop a federated repository and cybertraining platform for high-performance computing (HPC) training materials. The project aims to create a centralized hub that can be leveraged by academic institutions, HPC centers, and other organizations to discover, access, and share HPC training resources. The...