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DTSTART;TZID=America/Denver:20231113T083000
DTEND;TZID=America/Denver:20231113T120000
UID:submissions.supercomputing.org_SC23_sess232@linklings.com
SUMMARY:Compression for Scientific Data
DESCRIPTION:Compression for Scientific Data\n\nLarge-scale numerical simul
 ations, observations, experiments and AI computations are generating or co
 nsuming very large datasets that are difficult to analyze, store, and tran
 sfer. Data compression is an attractive and efficient technique to signifi
 cantly reduce scientific datasets. This tutorial re...\n\n\nFranck Cappell
 o (Argonne National Laboratory (ANL)), Peter Lindstrom (Lawrence Livermore
  National Laboratory (LLNL)), Sheng Di (Argonne National Laboratory (ANL))
 , Robert Underwood (Argonne National Laboratory), Xin Liang (University of
  Kentucky), and Samuel Li (National Center for Atmospheric Research)\n\nTa
 g: Algorithms, Applications, Data Compression, I/O and File Systems\n\nReg
 istration Category: Tutorial Reg Pass
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