This $600,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of a new, resource-efficient "REITOS" cyberinfrastructure platform for interactive machine learning training workloads using notebook computing environments. The key goals of the project are to: (1) create distributed notebook algorithms for high availability and interactivity, (2) enable more efficient GPU...
The University of Virginia received a $498,460 project grant award from the National Science Foundation on October 1, 2021 to support research titled "SHF: SMALL: DISTRIBUTION-AWARE TESTING FOR NEURAL NETWORKS." The project aims to develop testing techniques for neural networks that account for data distribution properties and will be completed by September 30, 2024. The award is provided through the NSF's Computer and Information Science and Engineering program (CFDA 47.070), which...
The National Science Foundation (NSF) awarded a $1,174,741 Project Grant to Rector & Visitors Of The University Of Virginia, doing business as the University of Virginia, to conduct research under the NSF Division of Computing and Communication Foundations program (CFDA 47.070). The project, titled "SHF: MEDIUM: MORE RELIABLE IMAGE NETWORKS THROUGH SCENE-BASED SPECIFICATION, NEURO-SYMBOLIC TRAINING, AND SYSTEMATIC SPECIFICATION-DRIVEN TESTING", seeks to develop techniques to assure...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) project grant awards $600,000 to the Rector & Visitors of the University of Virginia (University of Virginia) to develop innovative approaches for efficient training of Dynamic Graph Neural Network (DGNN) models on large-scale, time-varying graphs. The 3-year project, from October 2024 to September 2027, aims to create novel methods for graph partitioning, sampling, caching,...
This $134,992 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program aims to develop methods and architectural support for energy-efficient and scalable artificial intelligence (AI) systems. The key objectives are to: Leverage dynamic connectivity to reduce redundancy in AI models by adapting them to specific tasks and data. Provide architectural support for elastic processing through heterogeneous architectures...
The National Science Foundation (NSF) awarded a $6,999,294 Project Grant under the Computer and Information Science and Engineering (CISE) program to the University of Texas at Austin for the CHISHIKI.AI initiative. This 5-year project aims to build a sustainable, diverse, and integrated community of computational infrastructure (CI) professionals working at the intersection of artificial intelligence (AI) and civil/environmental engineering (CEE). The project will foster collaboration between...
This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) provides $405,881 to the University of Virginia for collaborative research titled "FRAMEWORK: SOFTWARE: CINES: A SCALABLE CYBERINFRASTRUCTURE FOR SUSTAINED INNOVATION IN NETWORK ENGINEERING AND SCIENCE." Awarded on October 1, 2021 for a two-year period concluding on October 31, 2023, this grant will support the development of new deep learning approaches...
The National Science Foundation (NSF) awarded a $300,000 Project Grant to North Carolina State University (NC State) under the NSF's Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The purpose of this 3-year grant, effective July 1, 2025 through June 30, 2028, is to develop a cyberinfrastructure that seamlessly and adaptively integrates lossy data compression techniques into deep learning pipelines within scientific applications. This integration aims...
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 $299,995 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports a two-year initiative to empower research computing and data (RCD) professionals to promote the National AI Research Resource (NAIRR) pilot at colleges and universities. The project, led by the University Corporation for Advanced Internet Development (Internet2), leverages Internet2's existing communication network of RCD...