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Lightning Talk: HyLoC: Objective-driven Adaptive Hybrid Lossy Compression Framework for Extreme-Scale Scientific Applications

descriptionPublicationkeyboard_double_arrow_right Presentation , Other literature type 16 Jul 2022 English Publisher:Zenodo
Authors: Tao, Dingwen; Di, Sheng;

doi: 10.5281/zenodo.6843405 , 10.5281/zenodo.6843404

Lightning Talk: HyLoC: Objective-driven Adaptive Hybrid Lossy Compression Framework for Extreme-Scale Scientific Applications

Abstract

This slide is to introduce the NSF CSSI project - HyLoC, which aims to develop a hybrid lossy compression framework to automatically construct the best-fit compression for diverse user objectives in data-intensive scientific research.

NSF CDS&E Awards #2042084 and #2003709

Related Organizations
Keywords

I/O, HPC, Lossy compression, Cyberinfrastructure

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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