Project Grant 2403090
Award Date 10/1/24
Completion Date 9/30/27
Dollars Obligated $150K
Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Athens, GA 30602, USA
Similar Awards
- This Project Grant award of $224,984 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research at the College of William & Mary in Williamsburg, Virginia focused on developing automated checkpoint and restart capabilities for deep learning applications running on high-performance computing (HPC) clusters. The key objectives of this 3-year project are to: 1) exploit properties of deep neural network models to...
- This $225,000 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports the CROPDL research project at Florida State University (FSU). The key objectives of CROPDL are to develop efficient application-level checkpoint and restart capabilities to enable more resilient, faster, and higher resource-utilized deep learning training on shared high-performance computing (HPC) clusters. The project aims to...
- This $300,000 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the "Versioned Lineage-Driven Checkpointing of Composable States (VLCC-States)" research project. The project aims to streamline the development and use of checkpointing patterns for scientific applications, which simplify and improve reusability of integration efforts across different communities, reduce development...
- The National Science Foundation (NSF) awarded a $381,371 project grant under the Computer and Information Science and Engineering (CISE) program to the University of Illinois to develop a "nonintrusive state manager" that can enable checkpointing capabilities in modern data science systems. The project aims to address the issue of fragility in data science systems caused by the use of numerous libraries, where a single bug can lead to significant loss of computation. The proposed...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $300,000 to the Rochester Institute of Technology (RIT) to develop innovative checkpointing technologies for scientific applications. The VLCC-STATES project aims to streamline the use of checkpointing patterns, which are critical capabilities enabling resilience, reproducibility, and performance optimization for a wide range of scientific...
- 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...
- The National Science Foundation (NSF) awarded a $249,998 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) to the University of Georgia Research Foundation, Inc. The grant supports research and development of the "EASER" paradigm - a framework for dealing with extreme heterogeneity in high-performance computing systems. Key components include: 1) compiler-driven performance prediction models, 2) an integrated job scheduling and...
- This Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program provides $622,422 to Georgia State University Research Foundation Inc. to add high-performance computing (HPC) resources to support 11 diverse research projects. The platform will acquire 12 H100 GPUs, 682 CPU cores, and 228TB of storage to enable advanced computational capabilities across domains including wildfire management, solar event prediction, brain and mind...
- This $131,959 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research conducted by Rutgers, The State University to develop new deep learning training methods that can efficiently scale to utilize high-performance computing (HPC) systems. The key goals are to: 1) Explore techniques like second-order information approximation, computation-communication tradeoffs, and data compression to enhance the speed...
- This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to democratize the use of large visual learning models by reducing the computational, data, and expertise requirements needed to create and deploy such models. The $1.2M award to Georgia Tech Research Corporation will fund research on specialized learning approaches for fast model customization with limited data, efficient inference algorithms...