Project Grant 2628473
- Federal Project Grant Award Summary Oregon State University received a $299,354 Project Grant from the National Science Foundation's Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering program (CFDA 47.070) for the collaborative research project "Mitigating Artifacts in Scientific Data Compressors with a Learning-Driven Framework." The award, effective July 1, 2026, through September 30, 2028, supports the development of a novel deep...
- Federal Grant Award Summary Oregon State University received a $152,807 Project Grant from the National Science Foundation's Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering program (CFDA 47.070), effective July 1, 2026 through January 31, 2027. The award supports collaborative research to develop PRODM (Progressive Data Management), a unified software framework for managing and analyzing scientific data produced by extreme-scale simulations and...
- 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 $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...
- Federal Grant Award Summary Clemson University's Division of Research received a $349,917 Project Grant from the National Science Foundation (NSF) Division of Computing and Communication Foundations under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), awarded July 15, 2025, with completion targeted for June 30, 2028. This collaborative research initiative will develop Efficient Processing Without Decompression (EPOD), a novel data reduction approach that...
- Federal Project Grant Award Summary Miami University received a $299,999 Project Grant from the National Science Foundation's Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) on October 1, 2025, with completion targeted for December 31, 2028. The award funds collaborative research to develop a learning-driven framework that mitigates compression artifacts produced by error-controlled lossy data compressors used in...
- Federal Grant Award Summary Oregon State University received a $320,000 project grant from the National Science Foundation's Engineering program (CFDA 47.041), effective September 1, 2025, through August 31, 2028, to develop theoretical foundations and computational algorithms for unregistered spectral image fusion in remote sensing applications. The project addresses a critical gap in existing methodologies by establishing rigorous theoretical underpinnings and reliable algorithms for fusing...
- Federal Grant Award Summary Oakland University received a $180,000 Project Grant from the National Science Foundation's Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering program (CFDA 47.070), effective October 1, 2025 through September 30, 2028. The award funds the development of Scientific GPU Compression Cyberinfrastructure (SGCC), a user-friendly, end-to-end cyberinfrastructure platform designed to optimize GPU-accelerated data compression...
- Federal Grant Award Summary The University of Oregon received a $1.2 million Project Grant from the National Science Foundation's Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering (CFDA 47.070) program, effective July 1, 2026 through June 30, 2029. This CICI: TCR (Cybersecurity, Cyberinfrastructure, and Trustworthy Research) award funds development and deployment of multifractal address-structure anomaly detection tools designed to identify...
- Federal Grant Award Summary The University of Houston System received a $179,988 Project Grant from the National Science Foundation (NSF) under the Computer and Information Science and Engineering program (CFDA 47.070), awarded August 1, 2025, with completion targeted for July 31, 2028. This collaborative research initiative develops the Scientific GPU Compression Cyberinfrastructure (SGCC), a user-friendly, end-to-end cyberinfrastructure for GPU-accelerated data compression optimized for...
Oregon State University received a $121,873 Project Grant awarded July 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) from the National Science Foundation's Office of Advanced Cyberinfrastructure to develop topology-aware lossy data compression techniques and software. The project addresses critical bottlenecks in extreme-scale scientific computing by creating advanced compression methods that preserve topological features essential for scientific discovery during both in situ and post hoc analysis and visualization. This research responds to a critical gap in existing compression technologies, which typically fail to maintain topological characteristics that are vital for extracting insights from massive datasets generated by simulations in cosmology, climate science, fusion energy, turbulent combustion, and other disciplines. The deliverables include research findings, software tools, and methodologies for topology-preserving data compression that will enable efficient handling of petabyte-scale simulation data while maintaining analytical integrity. The project's scope encompasses the development of theoretical frameworks and practical implementations suitable for integration into visualization and analysis pipelines, with expected impact extending across multiple scientific domains facing similar data storage and I/O bandwidth constraints.Federal Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $121.9k | 6/30/26 |