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DTSTART:19700308T020000
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DTSTAMP:20190719T085744Z
LOCATION:HG D 1.1
DTSTART;TZID=Europe/Stockholm:20190612T170000
DTEND;TZID=Europe/Stockholm:20190612T173000
UID:submissions.pasc-conference.org_PASC19_sess147_msa327@linklings.com
SUMMARY:Bridging the Software and Performance Gap to Exascale for Weather 
 and Climate
DESCRIPTION:Minisymposium\nComputer Science and Applied Mathematics, Clima
 te and Weather\n\nBridging the Software and Performance Gap to Exascale fo
 r Weather and Climate\n\nSchulthess\n\nWe present a roadmap towards exasca
 le computing based on true application performance goals. It is based on t
 wo state-of-the art European numerical weather prediction models (IFS from
  ECMWF and COSMO from MeteoSwiss) and their current performance when run a
 t very high spatial resolution on present-day supercomputers. We conclude 
 that these models execute about 100-250 times too slow for operational thr
 oughput rates at a horizontal resolution of 1 km, even when executed on a 
 full petascale system with nearly 5,000 state-of-the-art hybrid GPU-CPU no
 des.  Our analysis of the performance in terms of a metric that asses
 ses the efficiency of memory use shows a path to improve the performance o
 f hardware and software in order to meet operational requirements early ne
 xt decade.
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