BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/New_York
X-LIC-LOCATION:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20250316T231109Z
LOCATION:B306
DTSTART;TZID=America/New_York:20241118T153000
DTEND;TZID=America/New_York:20241118T155500
UID:submissions.supercomputing.org_SC24_sess751_ws_p3hpc122@linklings.com
SUMMARY:RAJA Performance Suite: Performance Portability Analysis with Cali
 per and Thicket
DESCRIPTION:Workshop\n\nOlga Pearce (Lawrence Livermore National Laborator
 y (LLNL), Texas A&M University); Jason Burmark and Rich Hornung (Lawrence 
 Livermore National Laboratory (LLNL)); Befikir Bogale and Ian Lumsden (Inn
 ovative Computing Laboratory, University of Tennessee); Michael McKinsey (
 Texas A&M University); Dewi Yokelson, David Boehme, and Stephanie Brink (L
 awrence Livermore National Laboratory (LLNL)); Michela Taufer (University 
 of Tennessee, Knoxville); and Tom Scogland (Lawrence Livermore National La
 boratory (LLNL))\n\nMaintaining performant code in a world of fast-evolvin
 g computer architectures and programming models poses a significant challe
 nge to scientists. Typically, benchmark codes are used to model some aspec
 ts of a large application code's performance, and are easier to build and 
 run. Such benchmarks can help assess the effects of code or algorithm chan
 ges, system updates, and new hardware. However, most performance benchmark
 s are not written using a wide range of GPU programming models. The RAJA P
 erformance Suite provides a comprehensive set of computational kernels imp
 lemented in a variety of programming models. We integrated the performance
  measurement and analysis tools Caliper and Thicket into the RAJAPerf to f
 acilitate performance comparison across kernel implementations and archite
 ctures. This paper describes the RAJAPerf, performance metrics that can be
  collected, and experimental analysis with case studies.\n\nTag: Performan
 ce Optimization, Programming Frameworks and System Software\n\nRegistratio
 n Category: Workshop Reg Pass\n\nSession Chairs: CJ Newburn (NVIDIA Corpor
 ation), Scott J. Parker (Argonne National Laboratory (ANL)), John Pennycoo
 k (Intel Corporation), and Kenneth Weiss (Lawrence Livermore National Labo
 ratory (LLNL))
END:VEVENT
END:VCALENDAR
