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DTSTAMP:20220812T074334Z
LOCATION:Sydney Room
DTSTART;TZID=Europe/Stockholm:20220628T123000
DTEND;TZID=Europe/Stockholm:20220628T130000
UID:submissions.pasc-conference.org_PASC22_sess140_msa148@linklings.com
SUMMARY:Towards Operational Numerical Weather Prediction on GPU using the 
 ICON Model
DESCRIPTION:Minisymposium\n\nTowards Operational Numerical Weather Predict
 ion on GPU using the ICON Model\n\nLapillonne\n\n<em>Numerical Weather Pre
 diction (NWP) models provide key information for social and economic activ
 ities as well as for warning the population against severe weather phenome
 na. The advances in computer architectures are an opportunity to improve t
 he accuracy, resolution or complexity of such modelling systems, but repre
 sent also a challenge in terms of software adaptation.</em><em>MeteoSwiss 
 the Swiss National Weather Prediction service is running since 2016 on a G
 raphical Processing Unit(s) GPU system at CSCS, an operational system usin
 g the COSMO model. The next numerical weather prediction system will be ba
 sed on more recent model, ICON, which is now also adapted to run on such G
 PU system. We present the porting effort using OpenACC compiler directives
  specific to the NWP components such as the physical parameterizations and
  data assimilation as well as challenges adapting such a large code based 
 to GPU architecture. We show performance achieved as compared to the CPU o
 nly implementation and discuss various optimizations required for the GPUs
 . Finally we present the possible configuration planned for the operationa
 l configuration at MeteoSwiss.</em>\n\nDomain: Climate, Weather and Earth 
 Sciences, Engineering, Physics
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