BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Denver
X-LIC-LOCATION:America/Denver
BEGIN:DAYLIGHT
TZOFFSETFROM:-0700
TZOFFSETTO:-0600
TZNAME:MDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0600
TZOFFSETTO:-0700
TZNAME:MST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260422T000713Z
LOCATION:506
DTSTART;TZID=America/Denver:20231113T114000
DTEND;TZID=America/Denver:20231113T115000
UID:submissions.supercomputing.org_SC23_sess452_ws_isav105@linklings.com
SUMMARY:Using Umpire In-Situ for Improved Memory Performance
DESCRIPTION:Kristi Belcher, David Beckingsale, Nicole Marsaglia, and Marty
  McFadden (Lawrence Livermore National Laboratory)\n\nBecause memory is a 
 highly constrained resource, Umpire, a data and memory management API, was
  created at Lawrence Livermore National Laboratory (LLNL). Umpire provides
  memory pools which enable less expensive ways to allocate very large amou
 nts of memory in HPC environments. Additionally, memory pools can be used 
 when many small allocations are needed to avoid expensive calls to the und
 erlying device-specific API. In-situ visualization is inherently\nresource
  constrained, making Umpire’s memory management API a valuable tool for im
 proving performance. Umpire is used in many simulation codes at LLNL that 
 also rely on cutting-edge in-situ visualization libraries. This lightning 
 talk discusses Umpire's advantages and use cases, including some examples 
 of in-situ visualization applications which rely on Umpire to improve memo
 ry performance.\n\nTag: Data Analysis, Visualization, and Storage, Large S
 cale Systems, Performance Measurement, Modeling, and Tools\n\nRegistration
  Category: Workshop Reg Pass\n\nSession Chairs: E. Wes Bethel (San Francis
 co State University, Lawrence Berkeley National Laboratory (LBNL)); Nicola
  Ferrier (Argonne National Laboratory (ANL), University of Chicago); Axel 
 Huebl (Lawrence Berkeley National Laboratory (LBNL)); Tom Vierjahn (Westph
 alian University of Applied Sciences); and Sean Ziegeler (US Department of
  Defense HPC Modernization Program, Department of Defense High Performance
  Computing Modernization Program (DoD HPCMP))\n\n
END:VEVENT
END:VCALENDAR