Collaborative Research: OAC Core: Mitigating Artifacts in Scientific Data Compressors with a Learning-Driven Framework
Description preview
Error-controlled lossy compressors are widely used to manage the large amount of data produced by scientific applications. Still, they may produce undesired compression artifacts that distort both raw and post hoc data analytics. This project aims to bridge the gap by developing a novel learning-driven framework to mitigate artifacts produced by…
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