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DTSTART;TZID=America/Denver:20231113T083000
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UID:submissions.supercomputing.org_SC23_sess232_tut109@linklings.com
SUMMARY:Compression for Scientific Data
DESCRIPTION:Franck Cappello (Argonne National Laboratory (ANL)), Peter Lin
 dstrom (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 A
 tmospheric Research)\n\nLarge-scale numerical simulations, observations, e
 xperiments and AI computations are generating or consuming very large data
 sets that are difficult to analyze, store, and transfer. Data compression 
 is an attractive and efficient technique to significantly reduce scientifi
 c datasets. This tutorial reviews the motivations, principles, techniques 
 and error analysis methods for lossy compression of scientific datasets. I
 t details the main compression stages (e.g. decorrelation, approximation a
 nd coding)  and their variations through the presentation of the state of 
 the art lossy compressors: SZ, ZFP, TThresh, MGARD, SPERR. A special atten
 tion is spent on lossy compression trustability. The tutorial addresses th
 e following questions: Why lossy compression? How does compression work? H
 ow to measure and control compression error? What are the current use case
 s? The tutorial uses examples of real-world scientific datasets to illustr
 ate the different compression techniques and their performance. From a par
 ticipant perspective, the tutorial will detail how to use compression soft
 ware as executables and as modules integrated in parallel I/O libraries (A
 DIOS, HDF5). This half-day tutorial, given by two of the leading teams in 
 this domain and targeting primarily beginners interested in learning about
  lossy compression for scientific data, is improved from the highly rated 
 tutorials given at ISC17-22 and SC17-22.\n\nTag: Algorithms, Applications,
  Data Compression, I/O and File Systems\n\nRegistration Category: Tutorial
  Reg Pass\n\n
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