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DTSTAMP:20190719T085745Z
LOCATION:HG D 1.1
DTSTART;TZID=Europe/Stockholm:20190614T103000
DTEND;TZID=Europe/Stockholm:20190614T110000
UID:submissions.pasc-conference.org_PASC19_sess119_msa206@linklings.com
SUMMARY:New Methodologies for Computational Performance Evaluation of Clim
 ate and Weather Models
DESCRIPTION:Minisymposium\nClimate and Weather\n\nNew Methodologies for Co
 mputational Performance Evaluation of Climate and Weather Models\n\nAcosta
 , Castrillo, Paronuzzi, Serradell, Tinto...\n\nHPC has evolved in the last
  years from a technology crucial to the academic research community to a p
 oint where it is acknowledged as a key piece of numerical modelling, highl
 ighting different challenges which should be solved. However, these challe
 nges cannot be met by mere extrapolation but require radical innovation in
  computing technologies and numerical implementations, where the computati
 onal evaluation of our models and how to evaluate different alternatives a
 re mandatory. This presentation will provide an overview of the computatio
 nal performance methodology which could be applied to evaluate the models 
 used by the community and prepare them for the exascale challenge. It will
  focus mainly on the methodology proposed to evaluate the performance of o
 ur atmospheric and ocean models using some profiling tools. The methodolog
 ies and tests proposed here could be adapted easily to be applied to other
  models in order to find main bottlenecks and hotspots for optimizations, 
 including different techniques to evaluate mathematical and algorithimical
  the model, independently of the hardware restrictions.
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