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UID:submissions.pasc-conference.org_PASC24_sess156_pos131@linklings.com
SUMMARY:P06 - Atlas as a Unified Data Structure Interface for Computation 
 on Heterogeneous Architectures
DESCRIPTION:Poster\n\nSlavko Brdar, Willem Deconinck, and Michael Lange (E
 CMWF)\n\nAt ECMWF, the Integrated Forecasting System (IFS) is undergoing a
 n incremental code refactoring aimed at running the forecast on heterogene
 ous computing architectures. One strategy is using the open-source and in-
 house developed Atlas library, which provides data structures, memory mana
 gement and parallelisation techniques, as well as some data manipulation t
 echniques such as interpolation and model component coupling. Crucial part
 s of the IFS have been extracted as dwarf-codes and have been extensively 
 optimised and ported to non-CPU hardware using the Fortran FIELD API. Buil
 t on this experience, this poster presents how new Atlas data structures a
 nd memory management techniques are implemented and employed, in order to 
 provide a more generic approach that could be merged into or replace FIELD
  API eventually. The comparisons of Atlas vs. original Fortran data struct
 ures are carried out on “dwarf-cloudsc”, a representative IFS physics para
 metrisation dwarf.\n\nSession Chair: Erik W. Draeger (Lawrence Livermore N
 ational Laboratory)
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