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TZID:Europe/Stockholm
X-LIC-LOCATION:Europe/Stockholm
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19700308T020000
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DTSTART:19701101T020000
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BEGIN:VEVENT
DTSTAMP:20190719T085744Z
LOCATION:HG D 1.2
DTSTART;TZID=Europe/Stockholm:20190612T163000
DTEND;TZID=Europe/Stockholm:20190612T170000
UID:submissions.pasc-conference.org_PASC19_sess153_msa165@linklings.com
SUMMARY:Using OpenACC to port MPAS-A to GPUs: Experiences, Performance and
  Status
DESCRIPTION:Minisymposium\nComputer Science and Applied Mathematics, Emerg
 ing Application Domains, Climate and Weather, Physics\n\nUsing OpenACC to 
 port MPAS-A to GPUs: Experiences, Performance and Status\n\nLoft\n\nGlobal
  atmospheric models are large software systems that include partial differ
 ential equation solvers and complex physical parameterizations of sub-grid
 scale phenomena. They represent years of work performed by scientists at m
 any institutions. With low floating-point intensity and the need for high 
 throughput rates, these models are problematic for current post-Dennard-sc
 aling computer architectures. This talk will present the latest status of 
 an on-going effort to achieve performance portability across CPUs and GPUs
  for the Model for Prediction Across Scales (MPAS) global atmospheric mode
 l, using the OpenACC programming paradigm to achieve this goal while prese
 rving the software development investment in the model.
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