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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20211207T055410Z
LOCATION:Online
DTSTART;TZID=America/Chicago:20211114T090000
DTEND;TZID=America/Chicago:20211114T090100
UID:submissions.supercomputing.org_SC21_sess424_wksp105@linklings.com
SUMMARY:DRBSD-7: The 7th International Workshop on Data Analysis and Reduc
 tion for Big Scientific Data
DESCRIPTION:Workshop\n\nDRBSD-7: The 7th International Workshop on Data An
 alysis and Reduction for Big Scientific Data\n\nKlasky, Liu, Foster, Ainsw
 orth\n\nA growing disparity between simulation speeds and I/O rates makes 
 it increasingly infeasible for applications to save all results for analys
 is. In this new world, applications must increasingly perform online data 
 analysis and reduction, tasks that introduce algorithmic, implementation a
 nd programming model challenges that are unfamiliar to many scientists and
  that have major implications for the design of various elements of exasca
 le systems.\n\nThis trend has spurred interest in online data analysis and
  reduction methods, motivated by a desire to conserve I/O bandwidth, stora
 ge and/or power; increase accuracy of data analysis results; and/or make o
 ptimal use of parallel platforms, among other factors. This requires our c
 ommunity to understand clear yet complex relationships among application d
 esign, data analysis and reduction methods, programming models, system sof
 tware, hardware and other elements of a next-generation high-performance c
 omputer, particularly given constraints such as applicability, fidelity, p
 erformance portability and power efficiency.\n\nTag: Online Only, Applicat
 ions, Big Data, Data Analytics, Data Management\n\nRegistration Category: 
 Workshop Reg Pass
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