Project Grant 2316201
Award Date
9/15/23
Completion Date
8/31/28
Dollars Obligated
$3M
Funding Federal Agency
Division of Computer and Network Systems
Awarding Federal Agency
Division of Computing and Communication Foundations
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Raleigh, NC 27607, USA
Similar Awards
The National Science Foundation (NSF) awarded a $916,767 Project Grant under the Computer and Information Science and Engineering (CISE) program to the University of California, Merced. The award supports the "COLLABORATIVE RESEARCH: PPOSS: LARGE: CROSS-LAYER COORDINATION AND OPTIMIZATION FOR SCALABLE AND SPARSE TENSOR NETWORKS (CROSS)" project. The project aims to develop efficient tensor network methods for handling high-dimensional and sparse data, which are prevalent in...
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 $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...
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...
The National Science Foundation (NSF) has awarded a $299,999 Project Grant to the College of William & Mary under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant, titled "COLLABORATIVE RESEARCH: CNS CORE: SMALL: A COMPILATION SYSTEM FOR MAPPING DEEP LEARNING MODELS TO TENSORIZED INSTRUCTIONS (DELITE)," will fund research to develop a compilation system that can optimize deep neural network (DNN) workloads for emerging tensorized instruction...
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...
This $150,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research on novel data visualization techniques based on tensor fields. The project aims to develop mathematical models and efficient algorithms for the visualization of dynamic tensor fields, which have applications in areas such as natural disaster modeling, structural stability analysis, and medical research. The core research...
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...