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X-LIC-LOCATION:Europe/Stockholm
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DTSTART:19700308T020000
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DTSTART:19701101T020000
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DTSTAMP:20230831T095747Z
LOCATION:Sertig
DTSTART;TZID=Europe/Stockholm:20230628T123000
DTEND;TZID=Europe/Stockholm:20230628T130000
UID:submissions.pasc-conference.org_PASC23_sess165_msa128@linklings.com
SUMMARY:Global Storm Resolving Simulations in a Python Framework - Progres
 s and Challenges
DESCRIPTION:Minisymposium\n\nAnurag Dipankar (ETH Zurich) and Mauro Bianco
  (ETH Zurich / CSCS)\n\nThe modern exascale computing systems have given t
 he climate and weather modeling community an opportunity for a step change
  in the simulation capabilities. One expects a resolution high enough to r
 esolve the key atmospheric processes provided the machine is properly util
 ized. However, this is a non-trivial task. Given the complexities at vario
 us levels from the hardware to the software (model), a close collaboration
  between the computer scientists, software engineers, and domain experts i
 s required to redesign the conventional model in a way that fully utilizes
  the exascale capabilities while keeping the model easy to use. In EXCALIM
 , we are developing a python-based framework that allows users to write co
 de, debug, run the model, and visualize from within the framework. Computa
 tions are largely handled by the embedded DSL, GT4Py, whereas the driver c
 ode is envisioned to be in python. This approach decouples the hardware-sp
 ecific implementation choices made for efficiency, from the functional cho
 ices by the domain experts. The framework is expected to allow for interop
 erability with software components developed in other programming language
 s or other frameworks. The talk will give an overview of the progress we h
 ave made in the last year and the challenges we have encountered.\n\nDomai
 n: Climate, Weather and Earth Sciences\n\nSession Chair: Xavier Lapillonne
  (MeteoSwiss)
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