Project Grant 2234376
Award Date
7/1/22
Completion Date
6/30/27
Dollars Obligated
$450K
Funding Federal Agency
Office of Advanced Cyberinfrastructure
Awarding Federal Agency
Division of Computing and Communication Foundations
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Columbus, OH 43210, USA
Similar Awards
This five-year, $899,840 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund research at The Ohio State University to develop a comprehensive framework for efficient, scalable, and performance-portable tensor applications. The University will contribute expertise in algorithms, software, and hardware to address challenges in sustaining improved performance and energy efficiency as transistor resources become bounded, and in...
This five-year, $7.3 million project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop a comprehensive framework for efficient, scalable, and performance-portable tensor applications. The University of Utah will receive funding to collaborate with other researchers on advancing tensor computations, which are fundamental to large-scale parallel software applications in scientific computing and machine learning. Key deliverables...
This $900,000 project grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) will fund research at Virginia Polytechnic Institute & State University to develop a comprehensive framework for efficient, scalable, and performance-portable tensor applications. The five-year award beginning July 2022 aims to address challenges in sustaining improved computing performance and developer productivity as hardware customization increases due...
The University of Oklahoma received a $450,000 Project Grant from the National Science Foundation to support research services focused on the development of a comprehensive framework for efficient, scalable, and performance-portable tensor applications. The grant was awarded under the NSF's Computer and Information Science and Engineering program (CFDA 47.070), which aims to advance computing and information science through investigator-initiated research and development of...
This $250,000 Project Grant award from the National Science Foundation's Engineering Program (CFDA 47.041) supports collaborative research at The Ohio State University (OSU) focused on scalable, robust, and distributed approaches for recovering low-dimensional tensor representations from incomplete measurements. The project aims to develop computationally and statistically efficient optimization methods that can directly operate on the low-dimensional tensor structures, overcoming challenges...
This Project Grant award from the National Science Foundation Division of Computing and Communication Foundations provides $125,000 in funding to Oregon State University from October 1, 2022 to September 30, 2023. The award supports research into cross-layer coordination and optimization for scalable and sparse tensor networks under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). Specifically, the award will fund preliminary research exploring memory...
This $125,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA #47.070) supports research at the University of California, Merced on developing optimized sparse tensor network algorithms and specialized accelerator architectures. The one-year award beginning October 1, 2022 aims to address challenges in high-dimensional data computation and analytics using tensor representations by exploring memory heterogeneity-aware data...
This Project Grant from the National Science Foundation's $125,000 Computer and Information Science and Engineering program will fund the development of optimized sparse tensor network algorithms and specialized accelerator architectures for heterogeneous computing systems. Awarded to North Carolina State University on October 1, 2022 for a one-year period ending September 30, 2023, the grant supports preliminary research to address challenges in sparse tensor network computations through four...
This National Science Foundation (NSF) Project Grant award, titled "COLLABORATIVE RESEARCH: PPOSS: LARGE: CROSS-LAYER COORDINATION AND OPTIMIZATION FOR SCALABLE AND SPARSE TENSOR NETWORKS (CROSS)," is funded through the NSF Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The $3,033,782 award, effective September 15, 2023, supports research to develop efficient tensor networks, especially for sparse data prevalent in real-world applications. The project...
This National Science Foundation (NSF) Engineering (CFDA 47.041) Project Grant award of $250,000 to Iowa State University of Science and Technology will support collaborative research to develop scalable, robust, and distributed nonconvex approaches for structured tensor recovery. The three-year project aims to advance the field of tensor analysis to address key challenges in modern data science across applications such as signal processing, biomedical imaging, machine learning, and quantum...