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DTSTAMP:20210402T160559Z
LOCATION:Track 8
DTSTART;TZID=America/New_York:20201117T153000
DTEND;TZID=America/New_York:20201117T170000
UID:submissions.supercomputing.org_SC20_sess183_pan103@linklings.com
SUMMARY:Lossy Compression for Scientific Data: Success Stories
DESCRIPTION:Panel\n\nLossy Compression for Scientific Data: Success Storie
 s\n\nCappello, Lindstrom, Di, Calhoun, Grosset...\n\nLarge-scale numerical
  simulations, observations and experiments are generating very large datas
 ets that are difficult to analyze, store and transfer. Data compression is
  an attractive and efficient technique to significantly reduce the size of
  scientific datasets. Lossy compression is also intriguing for potential u
 sers who need to better understand whether their applications can deal wit
 h lossy compression performance and errors. This panel will present succes
 s stories of lossy compression in simulations, instruments and AI executio
 ns. The panel will gather the developers of the most efficient lossy compr
 essors, users of these lossy compressors and developers of tools to assess
  the error introduced by lossy compression. The panelists will present the
 ir inspiring success stories to the attendees, who will provide feedback o
 n their own experience and ask questions. We expect the panel to attract i
 nterested researchers and users, novices and experts and potential users o
 r developers of lossy compression techniques.\n\nTag: Data Analytics, Comp
 ression, and Management\n\nRegistration Category: Tech Program Reg Pass
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