BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Chicago
X-LIC-LOCATION:America/Chicago
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20211207T055401Z
LOCATION:225
DTSTART;TZID=America/Chicago:20211115T153000
DTEND;TZID=America/Chicago:20211115T161000
UID:submissions.supercomputing.org_SC21_sess349_ws_isav110@linklings.com
SUMMARY:Automated In Situ Computational Steering Using Ascent’s Capable Ye
 s-No Machine
DESCRIPTION:Workshop\n\nAutomated In Situ Computational Steering Using Asc
 ent’s Capable Yes-No Machine\n\nLawson, Harrison, Brugger, Skinner, Larsen
 \n\nThe life of a multi-physics code user is complicated. Simulation crash
 es, efficient resource utilization, and simulation parameter choices are t
 ime consuming workflow issues that in- crease a user’s iteration time. Sim
 ulations often don’t provide general tools to support automatically adapti
 ng workflows to the diverse set of problems that multi-physics codes are c
 apable of simulating. In situ visualization and analysis infrastructures a
 re designed to be general. They are repositories of shared capability that
  support multiple simulation codes. Normally, the connection between simul
 ation and in situ analysis is unidirectional (e.g., render an image or que
 rying the mesh). In this work, we close the loop between an in situ infras
 tructure and a simulation, and we explore opportunities to leverage in sit
 u triggers for automatic computational steering at runtime. We demonstrate
  using Ascent’s in situ trigger interface as a capable yes-no machine for 
 controlling simulation choices.\n\nTag: Applications, Big Data, Visualizat
 ion\n\nRegistration Category: Workshop Reg Pass
END:VEVENT
END:VCALENDAR