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:20181221T160727Z
LOCATION:D168
DTSTART;TZID=America/Chicago:20181112T090000
DTEND;TZID=America/Chicago:20181112T090500
UID:submissions.supercomputing.org_SC18_sess140_wksp101@linklings.com
SUMMARY:Introduction - ISAV 2018: In Situ Infrastructures for Enabling Ext
 reme-Scale Analysis and Visualization
DESCRIPTION:Workshop\nData Analytics, Data Management, Visualization, Work
 shop Reg Pass\n\nIntroduction - ISAV 2018: In Situ Infrastructures for Ena
 bling Extreme-Scale Analysis and Visualization\n\nWeber, O'Leary, Ferrier,
  Wolf\n\nThe considerable interest in the HPC community regarding in situ 
 analysis and visualization is due to several factors. First is an I/O cost
  savings, where data is analyzed/visualized while being generated, without
  first storing to a filesystem. Second is the potential for increased  acc
 uracy, where fine temporal sampling of transient analysis might expose som
 e complex behavior missed in coarse temporal sampling. Third is the abilit
 y to use all available resources, CPU’s and accelerators, in the computati
 on of analysis products. \n\nThe workshop brings together researchers, dev
 elopers and practitioners from industry, academia, and government laborato
 ries developing, applying, and deploying in situ methods in extreme-scale,
  high performance computing. The goal is to present research findings, les
 sons learned, and insights related to developing and applying in situ meth
 ods and infrastructure across a range of science and engineering applicati
 ons in HPC environments; to discuss topics like opportunities presented by
  new architectures, existing infrastructure needs, requirements, and gaps,
  and experiences to foster and enable in situ analysis and visualization; 
 to serve as a “center of gravity” for researchers, practitioners, and user
 s/consumers of in situ methods and infrastructure in the HPC space.
URL:https://sc18.supercomputing.org/presentation/?id=wksp101&sess=sess140
END:VEVENT
END:VCALENDAR