Project Grant 2303064
Award Date
10/1/22
Completion Date
7/31/23
Dollars Obligated
$203K
Federal Agency
Office of Advanced Cyberinfrastructure
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Bloomington, IN 47405, USA
Similar Awards
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 $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 $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 National Science Foundation (NSF) award under the Computer and Information Science and Engineering program (CFDA 47.070) provides $579,943 to The Ohio State University to develop a comprehensive cyberinfrastructure framework called FZ to streamline the creation of specialized lossy data compression software for scientific applications. The key products and services include: Creating programming interfaces and a compressor generator to enable the development of new lossy compressors from...
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 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 National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) for $299,354 provides funding to develop a novel learning-driven framework to mitigate artifacts produced by scientific data compressors. The project aims to improve the integrity and quality of lossy-compressed scientific data, facilitating more efficient data storage, transmission, and analytics across domains including climatology, cosmology, fusion energy...
This Project Grant award, COLLABORATIVE RESEARCH: OAC CORE: MITIGATING ARTIFACTS IN SCIENTIFIC DATA COMPRESSORS WITH A LEARNING-DRIVEN FRAMEWORK, is funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The $299,999 award supports research to develop a novel learning-driven framework to mitigate artifacts produced by scientific lossy data compressors. The goal is to improve the integrity and quality of...
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...