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DTSTART;TZID=America/Denver:20231112T140000
DTEND;TZID=America/Denver:20231112T140100
UID:submissions.supercomputing.org_SC23_sess431_wksp107@linklings.com
SUMMARY:The 9th International Workshop on Data Analysis and Reduction for 
 Big Scientific Data (DRBSD-9)
DESCRIPTION:Sheng Di (Argonne National Laboratory (ANL)), Jieyang Chen (Un
 iversity of Alabama), Shadi Ibrahim (INRIA), Xin Liang (University of Kent
 ucky), and Ana Gainaru (Oak Ridge National Laboratory (ORNL))\n\nIn this n
 ew exascale computing era, applications must increasingly perform online d
 ata analysis and reduction—tasks that introduce algorithmic, implementatio
 n, and programming model challenges that are unfamiliar to many scientists
  and that have major implications for the design and use of various elemen
 ts of exascale systems. There are at least three important topics that our
  community is striving to answer: (1) whether several orders of magnitude 
 of data reduction are possible for exascale sciences; (2) understanding th
 e performance and accuracy trade-off of data reduction; and (3) solutions 
 to effectively reduce data while preserving the information hidden in larg
 e scientific data. Tackling these challenges requires expertise from compu
 ter science, mathematics, and application domains to study the problem hol
 istically, and develop solutions and hardened software tools that can be u
 sed by production applications. DRBSD-9 is a great venue to publish and sh
 are the latest research findings and achievements in this critical researc
 h topic.\n\nTag: Data Analysis, Visualization, and Storage, Data Compressi
 on\n\nRegistration Category: Workshop Reg Pass\n\nSession Chairs: Sheng Di
  (Argonne National Laboratory (ANL), University of Chicago); Dingwen Tao (
 Institute of Computing Technology, Chinese Academy of Sciences; University
  of Chinese Academy of Sciences); Ana Gainaru (Oak Ridge National Laborato
 ry (ORNL)); Jieyang Chen (University of Oregon); Shadi Ibrahim (French Ins
 titute for Research in Computer Science and Automation (INRIA)); and Xin L
 iang (Oregon State University)\n\n
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