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 to improve the efficacy, usability, performance, and scalability of data reduction techniques. This includes developing new efficient data predictors and lossless encoding methods for scientific data compression on graphics processing units. The optimized compression methods will be integrated with parallel input/output and message passing interface libraries. The expected outcomes are novel algorithms and open-source software packages that enable scientists and engineers to better address the challenge of rapidly growing scientific data volumes.
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