This Project Grant award of $710,889, provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, supports the development of the SINAPSE (Scalable Infrastructure for AI-Coupled Predictive Simulation Enhancement) software toolkit. SINAPSE aims to overcome the "silicon ceiling" limiting complex simulations by integrating artificial intelligence (AI) with high-performance computing (HPC) workflows. The project will create novel...
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 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...
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...
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 $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...
This Project Grant award of $584,257 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research to develop AI-based optimization techniques for the Message Passing Interface (MPI) standard, which is widely used for high-performance computing (HPC) and machine learning (ML) applications. The key objective is to create a novel "AI4MPI" approach that leverages AI and ML techniques to optimize point-to-point protocols...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) Project Grant award of $360,003 to The Trustees of Princeton University will fund the development of HPCGPT, an enhanced question-answering service for academic computing centers. The project, conducted in collaboration with Princeton University and Rutgers University, leverages generative AI and integrates data sources to improve the quality, efficiency, and timeliness of user...
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...