Project Grant 2316202
- 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 $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 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 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 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) awarded a $267,791 Project Grant under the Computer and Information Science and Engineering (CISE) Federal Grant Program to the University of California, Merced. The grant supports collaborative research to develop scalable simulation techniques and advanced memory management strategies tailored for large-scale machine learning workloads on graphics processing units (GPUs). The project aims to address challenges posed by the explosive growth in the size of...
- 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 $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 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 five-year, $450,000 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 collaborate with other researchers to address challenges in sustaining improved computing performance and energy efficiency given the end of Moore's Law. It will also seek to improve...
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 applications such as quantum chemistry, social networks, and machine learning. The research focuses on cross-layer coordination and optimization techniques for scalable and sparse tensor networks, targeting heterogeneous computing systems with diverse accelerators and memory technologies. Key objectives include improving data compression, computation, memory usage, and interpretability of tensor networks, while also fostering collaborations across academia, national labs, and industry. The project will also broaden education and outreach efforts in relevant areas. No sub-awards are planned under this grant.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $916.8k | 9/7/23 |