This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, with CFDA number 47.070, will provide $299,354.00 to The University of Kentucky Research Foundation. The award, effective October 1, 2025 through September 30, 2028, aims to develop a novel learning-driven framework to mitigate artifacts produced by scientific data compressors. This will improve the integrity and quality of lossy-compressed scientific data,...
This Project Grant award from the National Science Foundation (NSF) Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering (CFDA 47.070) program provides $201,765 to The University Of Kentucky Research Foundation (the Research Foundation) to develop advanced lossy compression techniques and software that preserve topological features in scientific data for in situ and post hoc analysis and visualization at extreme scales. The project aims to tackle...
This $198,234 Project Grant awarded by the National Science Foundation (NSF) Office of Advanced Cyberinfrastructure (CFDA 47.070 - Computer and Information Science and Engineering) supports research and development of advanced lossy data compression techniques that preserve topological features in scientific data. The project aims to develop algorithms to effectively reduce the size of large-scale scientific simulation data, such as from fusion and climate modeling, while preserving critical...
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 $819,000 National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) will fund a collaborative research project titled "SCIOPT: Toward Certifiable Compression-Aware SCIML Systems" at the University of Utah. The project aims to develop techniques to reduce the volume of data exchanged in high-performance scientific simulations and scientific machine learning (SCIML) applications without sacrificing accuracy. Key...
This $199,989 project grant, awarded by the National Science Foundation (NSF) Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering (CFDA 47.070) program, aims to research and develop advanced lossy data compression techniques that preserve topological features in large-scale scientific data. The project at The Ohio State University will tackle the data compression, analysis, and visualization needs of extreme-scale scientific simulations by creating a...
The National Science Foundation Office of Advanced Cyberinfrastructure awarded Indiana University $467,770 under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) from January 2023 through December 2027. The Project Grant funding will support the development of a highly effective, usable, performant, and scalable data reduction framework for high-performance computing systems and applications. Specifically, the principal investigator will conduct research...
This $350,000 Project Grant from the National Science Foundation Office of Advanced Cyberinfrastructure, under the Computer and Information Science and Engineering program (CFDA 47.070), will fund the development of a systematic approach to minimize compression error propagation in high-performance computing applications. Specifically, the University of Iowa will receive funding from August 2022 through July 2025 to create an accurate and efficient fault injection infrastructure integrated...
This Project Grant from the National Science Foundation's Office of Advanced Cyberinfrastructure, under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), provides $203,483 to Indiana University to develop an objective-driven adaptive hybrid lossy compression framework for extreme-scale scientific applications. The framework aims to automatically construct the best-fit compression strategy for diverse user objectives in data-intensive scientific research....
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) Project Grant award of $272,992 will support a collaborative research project at Texas State University titled "SCIOPT: Toward Certifiable Compression-Aware SCIML Systems." The project aims to develop techniques to reduce the volume of data exchanged in high-performance scientific computing and scientific machine learning (SCIML) applications without...