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:20260202T201247Z
LOCATION:Second Floor Atrium
DTSTART;TZID=America/Chicago:20251120T080000
DTEND;TZID=America/Chicago:20251120T170000
UID:submissions.supercomputing.org_SC25_sess533_post172@linklings.com
SUMMARY:An Approach for Correlating Compiler Optimizations with Runtime Pe
 rformance
DESCRIPTION:Befikir Bogale (University of Tennessee, Knoxville); Olga Pear
 ce (Lawrence Livermore National Laboratory); Tom Scogland (Lawrence Liverm
 ore National Laboratory (LLNL)); and Michela Taufer (University of Tenness
 ee, Knoxville)\n\nPerformance-portability libraries such as RAJA enable si
 ngle-source applications to run on diverse architectures, but performance 
 often depends on compiler decisions that are hard to observe. Existing too
 ls either show compiler activity without runtime context or runtime perfor
 mance without compiler provenance. We present an approach that integrates 
 compiler optimization data into runtime profiles, allowing developers to l
 ink specific optimizations to their performance impact. We demonstrate thi
 s approach through a case study where we determine the compiler requiremen
 ts of kernels from the RAJA Performance Suite.\n\nTag: Research & ACM SRC 
 Posters\n\nRegistration Category: Technical Program Reg Pass\n\nSession Ch
 airs: Kento Sato (RIKEN Center for Computational Science (R-CCS)); Chris S
 chlipalius (Pawsey Supercomputing Research Centre; Commonwealth Scientific
  and Industrial Research Organisation (CSIRO), Australia); and Anja Gerbes
  (Georg-August-Universität Göttingen)\n\n
END:VEVENT
END:VCALENDAR