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:708
DTSTART;TZID=America/Denver:20231112T170600
DTEND;TZID=America/Denver:20231112T171800
UID:submissions.supercomputing.org_SC23_sess438_ws_corr109@linklings.com
SUMMARY:Improve and Stabilize Classification Results of DataRaceBench
DESCRIPTION:Joachim Jenke and Simon Schwitanski (RWTH Aachen University)\n
 \nDataRaceBench is a benchmark using small kernel applications to classify
  the detection capabilities of data race detection tools.  During our expe
 riments of applying Archer to the benchmark suite we observed different sh
 ort-comings.  With recently added kernels, the turn-around time of a basic
  benchmark run increased from several minutes to more than an hour.  Furth
 ermore, we observed non-deterministic and unexpected results.  In this pre
 sentation, we propose several changes to existing kernels to address these
  short-comings.  In addition, we propose to use variants of the kernels wi
 th non-deterministic runtime schedules that explicitly enforce these diffe
 rent schedules.  Finally, we provide an evaluation of the updated benchmar
 k with Archer running in thread-centric and task-centric mode.\n\nTag: App
 lications, Software Engineering\n\nRegistration Category: Workshop Reg Pas
 s\n\nSession Chairs: Ignacio Laguna (Lawrence Livermore National Laborator
 y (LLNL)); Cindy Rubio-González (University of California, Davis); and Emm
 anuelle Saillard (French Institute for Research in Computer Science and Au
 tomation (INRIA))\n\n
END:VEVENT
END:VCALENDAR