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DTSTART:19700308T020000
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DTSTAMP:20260422T000711Z
LOCATION:708
DTSTART;TZID=America/Denver:20231112T090000
DTEND;TZID=America/Denver:20231112T090100
UID:submissions.supercomputing.org_SC23_sess425_wksp105@linklings.com
SUMMARY:XLOOP 2023: The 5th Annual Workshop on  Extreme-Scale Experiment-i
 n-the-Loop Computing
DESCRIPTION:Justin Wozniak (Argonne National Laboratory (ANL), University 
 of Chicago) and Nicholas Schwarz (Argonne National Laboratory (ANL))\n\nAd
 vancement in computational power and high-speed networking is enabling a n
 ew model of scientific experiment, experiment-in-the-loop computing (EILC)
 .  In this model, simulation and/or learning modules are run as data is co
 llected from observational and experimental sources.  Presently, the amoun
 t and complexity of data generated by simulations and by observational and
  experimental sources, such as sensor networks and large-scale scientific 
 facilities, continues to increase. Several research challenges exist, many
  of which are independent of the scientific application domain.  New algor
 ithms, including artificial intelligence and machine learning algorithms, 
 to merge simulation ensembles and experimental data sets must be developed
 .  Data transfer techniques and workflows must be constructed to control t
 he ensembles and integrate simulated and observed data sets.  The Workshop
  on Extreme-Scale Experiment-in-the-Loop Computing (XLOOP 2023) will be a 
 unique opportunity to promote this interdisciplinary topic area.  We invit
 e papers, presentations, and participants from the physical and computer s
 ciences.\n\nTag: Large Scale Systems, Performance Measurement, Modeling, a
 nd Tools, Software Engineering\n\nRegistration Category: Workshop Reg Pass
 \n\nSession Chairs: Nicholas Schwarz (Argonne National Laboratory (ANL)) a
 nd Justin Wozniak (Argonne National Laboratory (ANL), University of Chicag
 o)\n\n
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