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:20181221T160903Z
LOCATION:C2/3/4 Ballroom
DTSTART;TZID=America/Chicago:20181115T083000
DTEND;TZID=America/Chicago:20181115T170000
UID:submissions.supercomputing.org_SC18_sess324_post165@linklings.com
SUMMARY:Making Sense of Scientific Simulation Ensembles
DESCRIPTION:Poster\nTech Program Reg Pass, Exhibits Reg Pass\n\nMaking Sen
 se of Scientific Simulation Ensembles\n\nDahshan, Polys\n\nScientists run 
 many simulations with varying initial conditions, known as "ensembles", to
  understand the influence and relationships among multiple parameters or e
 nsemble members. Most of the ensemble visualization and analysis approache
 s and techniques focus on analyzing the relationships between either the e
 nsemble members or output parameter space while neglecting the effect of i
 nput parameters and humans in the analysis loop. Therefore, we developed a
 n approach to the visual analysis of scientific data that merges human exp
 ertise and intuition with machine learning and statistics allowing scienti
 sts to explore, search, filter, and make sense of their high dimensional e
 nsemble. Our tool,  "GLEE" (Graphically-Linked Ensemble Explorer), is an i
 nteractive visualization tool that consists of three visual views: Ensembl
 e View, Parameter View, and Statistical View. Each view offers different f
 unctionality for exploration and interoperation of the relations and corre
 lations between different runs, a subset of runs, and input and output par
 ameters.
URL:https://sc18.supercomputing.org/presentation/?id=post165&sess=sess324
END:VEVENT
END:VCALENDAR