Project Grant 2200792
Award Date
7/1/22
Completion Date
6/30/24
Dollars Obligated
$400K
Federal Agency
Office of Advanced Cyberinfrastructure
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
East Lansing, MI 48824, USA
Similar Awards
This $585,603 project grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will establish the "MSU Data Hub" at Michigan State University (MSU). The Data Hub will provide a centralized platform for MSU researchers to store, share, and archive their data, enabling data-intensive research and education across various disciplines. The system will integrate with MSU's existing cyberinfrastructure and...
This $492,652 Project Grant awarded by the National Science Foundation (NSF) Office of Integrative Activities (CFDA 47.083) will enable Montana State University (MSU) to acquire and deploy a state-of-the-art high-performance computing (HPC) cluster to support computational research and education across the four-campus MSU system. The HPC resources, including advanced machine learning-optimized GPUs paired with the latest CPUs, will significantly improve the speed and capabilities of...
This Project Grant award from the National Science Foundation will fund the acquisition of a high-performance computing cluster named DeepBlizzard at Michigan Technological University. The $432,111 award, made under the NSF's Computer and Information Science and Engineering program, will support the cluster from October 1, 2022 to September 30, 2024. DeepBlizzard will accelerate scientific discoveries and technological innovations across multiple disciplines at Michigan Tech through...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award, totaling $299,392, aims to build a collaborative mechanism for academia, industry, and the public sector to co-design research and development (R&D) directions for data systems and artificial intelligence (AI) to address scientific and societal challenges. The project, led by the Regents of the University of Michigan, will bring together data science and...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $613,062 to Georgia State University Research Foundation Inc. to acquire and operate advanced computing infrastructure to support a diverse portfolio of 11 research projects. The computing platform will include 12 H100 GPUs, 682 CPU cores, and 228TB of storage, enabling research across areas such as wildfire management, solar event...
This $628,773 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will establish a high-performance computing (HPC) cluster at San Jose State University (SJSU) to enhance interdisciplinary research and education. The new HPC environment, featuring advanced NVIDIA GPU nodes and high-performance storage, will significantly improve computational capabilities across multiple domains at SJSU, including AI/ML,...
This four-year, $1.2 million project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop new efficient and scalable distributed learning algorithms and frameworks. The grantee, Michigan State University, will systematically investigate computation and communication efficiency challenges in centralized and decentralized machine learning paradigms. Researchers will address these issues through three research directions to...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE, CFDA 47.070) program grant for $174,861 awarded to Oakland University in Rochester, Michigan will support research into in-memory machine learning using memristor crossbars. The project aims to develop algorithms and techniques to enable energy-efficient and radiation-hardened machine learning computations by leveraging sneak paths in 3D memristor crossbar architectures. Key objectives include...
This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program provides $170,000 to Michigan State University (MSU) for a 3-year project titled "Next-Generation Functional Data Analysis via Machine Learning". The project aims to develop advanced machine learning and artificial intelligence methodologies tailored for the analysis of complex, high-dimensional functional data that are becoming more prevalent across various...
This 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), provides $1,199,454 to the University of Southern California to develop scalable graph machine learning methods for distributed heterogeneous systems from August 15, 2022 to July 31, 2025. The University will create a cyberinfrastructure toolkit enabling complex graph machine learning applications to run on...