Project Grant 2534241
Award Date
10/1/24
Completion Date
8/31/27
Dollars Obligated
$300K
Federal Agency
Office of Advanced Cyberinfrastructure
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Hoboken, NJ 07030, USA
Similar Awards
This $300,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop strategies for efficiently leveraging idle resources in high-performance computing (HPC) systems to accelerate large-scale artificial intelligence (AI) workloads. The key objectives are to: 1) analyze patterns of idle resources in HPC environments, 2) develop methods to safely and rapidly harvest these idle resources, and...
The National Science Foundation (NSF) awarded a $295,548 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Illinois. The award will support the development of an "Intelligent Management of Hybrid Workloads for Extreme Scale Computing" framework. Key research activities include modeling the performance implications of diverse workloads on supercomputers, creating new intelligent multi-resource scheduling methods, and...
This federal Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program supports the development of efficient processes for allocating artificial intelligence (AI) resources and managing the National Artificial Intelligence Research Resource (NAIRR) pilot program. The $896,755 award, which runs from February 2025 to January 2027, builds on lessons learned from the COVID-19 HPC Consortium to enhance the NAIRR pilot, including...
This Project Grant award of $279,103 from the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083) supports the University of Kansas Center for Research Inc. in developing an integrated algorithmic and machine learning-based approach to enhance resource scheduling in high-performance computing (HPC) systems. The key goals are to address uncertainty in emerging HPC applications, resource contention, and workflow variations by designing novel scheduling algorithms and...
This Project Grant award of $598,555.00 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) supports the development of innovative tools and techniques to enhance computer architecture analysis. The project aims to introduce advanced visualization, collaborative sensemaking, and generative AI methods to provide deeper insights into system performance, enabling the design of more efficient and sustainable computing...
This Project Grant award for $174,925, provided by the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering), supports the development of novel data transfer optimization techniques for high-performance computing applications. The key project objectives are to: (i) implement a robust monitoring framework to enhance system visibility and enable global optimization and fair resource allocation; (ii) develop a simulator that replicates complex storage and...
This award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $360,000 to the University of Illinois to develop "HPCGPT", a question-answering service that leverages generative AI and integrates data sources to enhance the user support services at academic high-performance computing (HPC) centers. In collaboration with Princeton University and Rutgers University, the project aims to improve the quality,...
This $800,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports a collaborative research project titled "MPI4AI: Enhancing Performance and Productivity of AI Science through Next-Generation High Performance Communication Abstractions." The project, which runs from September 2025 to August 2029, aims to improve how massively parallel computers run large-scale artificial intelligence (AI) applications...
This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program aims to develop software frameworks that can efficiently serve and deploy machine learning models for a variety of AI-powered applications. The $600,000 award, spanning from October 2024 to September 2027, tasks the prime awardee, Georgia Tech Research Corporation, with creating agile mechanisms and policies to serve a family of AI models across...
This National Science Foundation (NSF) award, funded through the Computer and Information Science and Engineering program (CFDA 47.070), provides $174,566 to The Research Foundation For The State University Of New York (doing business as Stony Brook University) from October 1, 2023 to September 30, 2025. The purpose of this project grant is to educate computational researchers, primarily graduate students and postdocs, in the efficient use of novel cutting-edge hardware and high-performance...