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X-LIC-LOCATION:America/Chicago
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TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
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DTSTART:19701101T020000
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DTSTAMP:20230124T170828Z
LOCATION:D161
DTSTART;TZID=America/Chicago:20221114T083000
DTEND;TZID=America/Chicago:20221114T120000
UID:submissions.supercomputing.org_SC22_sess205@linklings.com
SUMMARY:Lossy Compression for Scientific Data
DESCRIPTION:Tutorial\n\nLossy Compression for Scientific Data\n\nCappello,
  Lindstrom, Di\n\nLarge-scale numerical simulations, observations, experim
 ents, and AI computations are generating or consuming very large datasets 
 that are difficult to analyze, store, and transfer. Data compression is an
  attractive and efficient technique to significantly reduce scientific dat
 asets. This tutorial r...\n\n\nSession Format: Recorded\n\nTag: Algorithms
 , Applications, Big Data, Computational Science, Data Analytics, Data Mana
 gement, File Systems and I/O\n\nRegistration Category: Tutorial Reg Pass
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