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:20260422T143139Z
LOCATION:B306
DTSTART;TZID=America/New_York:20241118T161300
DTEND;TZID=America/New_York:20241118T161900
UID:submissions.supercomputing.org_SC24_sess751_ws_p3hpc106@linklings.com
SUMMARY:Evaluating Performance Portability of a Seismic Survey Simulation 
 across GPU Architectures
DESCRIPTION:Arthur Lorenzon and Philippe Navaux (Federal University of Rio
  Grande do Sul, Brazil); Alexandre Sardinha (Petróleo Brasileiro S.A.); an
 d Bronson Messer (Oak Ridge National Laboratory (ORNL))\n\nWith the increa
 sing use of graphic processing units (GPUs) from various vendors in oil an
 d gas companies, achieving code portability has become essential. This cap
 ability allows for evaluating performance across diverse GPU vendors, faci
 litating well-informed decisions, and promoting competition and innovation
  in GPU technologies. We have made significant contributions in addressing
  the challenge of achieving performance portability for Fletcher, an aniso
 tropic wave propagation modeling application across GPUs from NVIDIA and A
 MD. Our first contribution involves the implementation of Fletcher on GPUs
  using ten variations of portable programming models, including HIP, CUDA,
  Kokkos, and RAJA. Our second contribution is a comprehensive evaluation o
 f these implementations across five generations of GPUs from NVIDIA and AM
 D, assessing performance and performance-portability. A series of extensiv
 e experiments demonstrated that HIP outperforms the assessed programming m
 odels regarding performance portability across all evaluated GPUs. Specifi
 cally, it performs 7.9% better than Kokkos and 8.8% better than RAJA.\n\nT
 ag: Performance Optimization, Programming Frameworks and System Software\n
 \nRegistration Category: Workshop Reg Pass\n\nSession Chairs: CJ Newburn (
 NVIDIA Corporation), Scott J. Parker (Argonne National Laboratory (ANL)), 
 John Pennycook (Intel Corporation), and Kenneth Weiss (Lawrence Livermore 
 National Laboratory (LLNL))\n\n
END:VEVENT
END:VCALENDAR