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DTSTAMP:20230831T095746Z
LOCATION:Hall
DTSTART;TZID=Europe/Stockholm:20230627T193000
DTEND;TZID=Europe/Stockholm:20230627T213000
UID:submissions.pasc-conference.org_PASC23_sess116_pos119@linklings.com
SUMMARY:P39 - Mapping a Coupled Earth-System Simulator onto the Modular Su
 percomputer Architecture
DESCRIPTION:Poster\n\nSamuel Hatfield, Olivier Marsden, Kristian Mogensen,
  and Ioan Hadade (ECMWF)\n\nThe Modular Supercomputer Architecture concept
 , developed for the DEEP project series, describes a novel kind of heterog
 eneous computing platform comprising several different “modules”, each of 
 which is a separate compute cluster in its own right. The modules are conn
 ected with a federated network to allow heterogeneous jobs to execute acro
 ss them. One module may be GPU-based to benefit compute kernels with dense
  linear algebra or machine learning tasks, for example, whereas another mo
 dule may have a particularly well optimised file system. The truly heterog
 eneous Modular Supercomputer Architecture therefore works particularly wel
 l for complex applications comprising a range of different compute pattern
 s. One such application is the Earth system simulation, in which the Earth
  system is broken down into individual components for representing the atm
 osphere, the ocean, the land surface, and others. Here we present results 
 from adapting the European Centre for Medium-Range Weather Forecasts’s Ear
 th system model, the Integrated Forecasting System, to take advantage of t
 he Modular Supercomputing Architecture. We focus on the relationship betwe
 en two particularly compute-intensive model components: the atmosphere and
  the ocean. We will present results from performing concurrent heterogeneo
 us atmosphere-ocean integrations on a prototypical Modular Supercomputer A
 rchitecture system, the DEEP machine at the Jülich Supercomputing Centre.
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