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DTSTAMP:20211215T170232Z
UID:DB4E910A-092D-4D7B-B817-9DE7DC0B601D
DTSTART;TZID=US/Eastern:20211215T110000
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DESCRIPTION:To join the video meeting\, copy this link: https://meet.google
 .com/tqy-pifs-pwq\nOtherwise\, to join by phone\, dial +1 515-454-0917 and
  enter this PIN: 822 950 380#\n\nThis work builds on another effort descri
 bed in Application of Jupyter Notebook interfaces and iLauncher to deep le
 arning workflows on HPC systems.Jupyter Notebook\, container\, Simulations
 \, RADAR\, SAR\, PHD\, HPC-GPS. We describe a complex workflow application
  which generates millions of images in parallel on an HPC system via web i
 nterfaces using ipywidgets in Jupyter Notebooks and the Interface Launcher
  (iLauncher). Some computations are so complicated\, taking many millions 
 of HPC hours\, that only a few subject matter experts are able to generate
  information efficiently. We present our custom application that walks the
  user through a workflow to include: target selection\, configuration of t
 he target\, radar phase history simulation\, and finally SAR image generat
 ion. The interface requests the user to enter a minimal set of parameters 
 while other variables essential to computations are generated on the fly a
 nd provides status updates on workflow computations. Additionally\, the ab
 ility to download any data component or view images interactively is provi
 ded. This application can be disconnected from the HPC system and reconnec
 ted at any time without slowing down the computations on the workflow subm
 itted. Although typically a maximum run time must be specified when submit
 ting a job to the queuing interface on an HPC system\, this application us
 es the HPC-GPS tool to allow users to extend run times even after the init
 ial request is submitted. Our new application helps to reduce the barrier 
 to entry for both complicated physics-based simulations and using HPC syst
 ems.\n\nSpeaker(s): Dr. John Nehrbass\, \n\nVirtual: https://events.vtools
 .ieee.org/m/294887
LOCATION:Virtual: https://events.vtools.ieee.org/m/294887
ORGANIZER:holly.zelnio@ieee.org
SEQUENCE:12
SUMMARY:Parallel image generation on HPC systems via iLauncher
URL;VALUE=URI:https://events.vtools.ieee.org/m/294887
X-ALT-DESC:Description: <br /><div id="xDetDlgVideo" class="kMp0We c44COb A
 0N0L owQVGf sMVRZe" data-details="IEEE SP Event\nWednesday\, December 15 &
 middot\; 11:00am &ndash\; 12:00pm\nGoogle Meet joining info\nVideo call li
 nk: https://meet.google.com/tqy-pifs-pwq\nOr dial: ‪(US) +1 515-454-0917
 ‬ PIN: ‪822 950 380‬#\nMore phone numbers: https://tel.meet/tqy-pifs
 -pwq?pin=6068968531733">\n<div class="NI2kfb  DX3x9d">\n<div class=" Q3pZ0
 e">\n<div class="DN1TJ fX8Pqc">&nbsp\;</div>\n<div class="DN1TJ fX8Pqc">To
  join the video meeting\, copy this link: https://meet.google.com/tqy-pifs
 -pwq<br />Otherwise\, to join by phone\, dial +1 515-454-0917 and enter th
 is PIN: 822 950 380#<br /><br /></div>\n</div>\n</div>\n</div>\n<div id="x
 DetDlgPhone" class="kMp0We c44COb A0N0L  yvZHEd " data-details="">\n<div c
 lass="nGJqzd OLw7vb" aria-hidden="true">&nbsp\;</div>\n<div class="NI2kfb 
 ">\n<div class=" Q3pZ0e">&nbsp\;</div>\n</div>\n</div>\n<p>This work build
 s on another effort described in Application of Jupyter Notebook interface
 s and iLauncher to deep learning workflows on HPC systems.Jupyter Notebook
 \, container\, Simulations\, RADAR\, SAR\, PHD\, HPC-GPS.&nbsp\; We descri
 be a complex workflow application which generates millions of images in pa
 rallel on an HPC system via web interfaces using ipywidgets in Jupyter Not
 ebooks and the Interface Launcher (iLauncher). Some computations are so co
 mplicated\, taking many millions of HPC hours\, that only a few subject ma
 tter experts are able to generate information efficiently. We present our 
 custom application that walks the user through a workflow to include: targ
 et selection\, configuration of the target\, radar phase history simulatio
 n\, and finally SAR image generation. The interface requests the user to e
 nter a minimal set of parameters while other variables essential to comput
 ations are generated on the fly and provides status updates on workflow co
 mputations. Additionally\, the ability to download any data component or v
 iew images interactively is provided. This application can be disconnected
  from the HPC system and reconnected at any time without slowing down the 
 computations on the workflow submitted. Although typically a maximum run t
 ime must be specified when submitting a job to the queuing interface on an
  HPC system\, this application uses the HPC-GPS tool to allow users to ext
 end run times even after the initial request is submitted. Our new applica
 tion helps to reduce the barrier to entry for both complicated physics-bas
 ed simulations and using HPC systems.</p>
END:VEVENT
END:VCALENDAR