This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop efficient data processing techniques that enable direct processing of compressed data without decompression. The total award amount is $349,917 over the period of July 15, 2025 to June 30, 2028. The key products and services to be delivered include: (1) developing a novel "Efficient Processing Without Decompression" (EPOD)...
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...
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...
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...
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...
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 Project Grant award of $299,999.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) supports the development of a novel learning-driven framework to mitigate artifacts produced by scientific data compression techniques. The project aims to improve the integrity and quality of lossy-compressed scientific data, facilitating more efficient data storage, transmission, and analytics across applications in...
This $540,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program aims to develop a comprehensive framework called FZ to enable scientific users to intuitively research, compose, implement, and test specialized lossy data compression techniques. The project will build on existing capabilities from various open-source data compression tools to create an intuitive cyberinfrastructure for the composition of specialized...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will develop a user-friendly, high-performance, and portable GPU-accelerated data reduction cyberinfrastructure called SGCC. The $179,988 award to the University of Houston System will extend and optimize existing GPU-based data compression capabilities, including error-bounded lossy compressors, lossless encoders, and compression quality assessment...