Project Grant 2514142
Award Date
10/1/25
Completion Date
9/30/28
Dollars Obligated
$711K
Federal Agency
Office of Advanced Cyberinfrastructure
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Chicago, IL 60637, USA
Similar Awards
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant award of $725,000 to The Trustees of Princeton University supports the development of a powerful, open-source software toolkit that integrates artificial intelligence (AI) with high-performance computing (HPC) to enhance simulation capabilities for complex scientific challenges. The "SINAPSE: Scalable Infrastructure for AI-Coupled Predictive Simulation Enhancement" project...
This Project Grant award of $725,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program aims to develop a scalable infrastructure for AI-driven predictive simulation enhancements. The University of California, San Diego (UCSD) will create an open, sustainable software development kit (SDK) that seamlessly integrates artificial intelligence (AI) with high-performance computing (HPC) workflows. The project will deliver new and enhanced core...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award, with CFDA Number 47.070, provides $824,984.00 in funding to Rutgers, The State University for the "COLLABORATIVE RESEARCH: FRAMEWORKS: SINAPSE: SCALABLE INFRASTRUCTURE FOR AI-COUPLED PREDICTIVE SIMULATION ENHANCEMENT" project. The objective is to develop a powerful, open-source software toolkit that integrates artificial intelligence (AI) with high-performance computing...
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...
The National Science Foundation (NSF) awarded a $292,237 Project Grant under the Computer and Information Science and Engineering (CISE) program to the University of Illinois. The grant, titled "A Framework to Power Next-Generation AI-Based Scientific Models on Hardware with Massive Parallelism," aims to address two key challenges faced by non-computer science researchers in utilizing modern hardware with massive parallelism for training advanced AI models for scientific discovery. The...
This Project Grant award of $270,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research to develop scalable simulation techniques and advanced memory management strategies for large-scale machine learning workloads on graphics processing units (GPUs). The key objectives are to enable faster and more efficient simulation of large machine learning models, which can take days or weeks using current methods, and to improve...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program Project Grant, awarded on June 1, 2025, will provide $491,530 to the University of Wisconsin System for a 2-year project. The project aims to develop graph-based generative AI models to dramatically accelerate the simulation of high-energy particle interactions, enabling faster and more efficient modeling compared to traditional computationally intensive simulation methods. Key expected...
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 National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) grant award (CFDA 47.070) for $299,524 will fund a project titled "EAGER: NAIRR PILOT: ENABLING PARAMETRIC SWEEPS ON EXASCALE AI-INTEGRATED SIMULATIONS THROUGH FEDERATED LEARNING." The project aims to develop an innovative framework that integrates advanced AI techniques with traditional numerical methods to enable efficient and accessible parameter space exploration for exascale multiphysics...
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...