BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:Europe/Stockholm
X-LIC-LOCATION:Europe/Stockholm
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20230831T095742Z
LOCATION:Davos
DTSTART;TZID=Europe/Stockholm:20230628T093000
DTEND;TZID=Europe/Stockholm:20230628T100000
UID:submissions.pasc-conference.org_PASC23_sess123_key104@linklings.com
SUMMARY:AK02 - Leveraging HPC Performance Engineering to Support Exascale 
 Scientific Discovery
DESCRIPTION:Keynote\n\nSarah Neuwirth (Goethe University Frankfurt)\n\nHPC
  applications are evolving not only to include traditional modeling and si
 mulation bulk-synchronous scale-up workloads but also scale-out workloads 
 including: artificial intelligence, big data analytics, deep learning, and
  complex workflows. Given the ever-growing complexity of supercomputers an
 d the advent of exascale computing, these trends can create a gap between 
 expected and observed peak performance. Therefore, performance engineering
  is critical to bridge this gap through reproducible benchmarking, predict
 ion, optimization, and analysis of large-scale HPC workloads. In this talk
 , I will highlight the challenges and opportunities in leveraging modular 
 HPC performance engineering to support exascale scientific discovery. This
  will include introducing the key pillars of performance engineering such 
 as user-friendly tool infrastructures, performance modeling, automatic opt
 imization through integration into the application/system lifecycle, and f
 eedback and user engagement.\n\nSession Chair: Matej Praprotnik (National 
 Institute of Chemistry, Ljubljana, Slovenia)
END:VEVENT
END:VCALENDAR