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Black-box statistical prediction of lossy compression ratios for scientific data.

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Title: Black-box statistical prediction of lossy compression ratios for scientific data.
Authors: Underwood, Robert1, runderwood@anl.gov, Bessac, Julie2, Krasowska, David3, Calhoun, Jon C4, Di, Sheng1, Cappello, Franck1
Source: International Journal of High Performance Computing Applications; Jul2023, Vol. 37 Issue 3/4, p412-433, 22p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 164957945
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+High+Performance+Computing+Applications%22">International Journal of High Performance Computing Applications</searchLink>; Jul2023, Vol. 37 Issue 3/4, p412-433, 22p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=164957945
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        Value: 10.1177/10943420231179417
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      – Code: eng
        Text: English
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        PageCount: 22
        StartPage: 412
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      – TitleFull: Black-box statistical prediction of lossy compression ratios for scientific data.
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            – D: 01
              M: 07
              Text: Jul2023
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              Y: 2023
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              Value: 37
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