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UID:submissions.pasc-conference.org_PASC19_sess182_pap_jan128@linklings.co
 m
SUMMARY:Porting the COSMO Weather Model to Manycore CPUs
DESCRIPTION:Paper\nClimate and Weather\n\nPorting the COSMO Weather Model 
 to Manycore CPUs\n\nThaler, Moosbrugger, Osuna, Bianco, Vogt...\n\nWeather
  and climate simulations are a major application driver in high-performanc
 e computing (HPC). With the end of Dennard scaling and Moore's law, the HP
 C industry increasingly employs specialized computation accelerators to in
 crease computational throughput. Manycore architectures, such as Intel's K
 nights Landing (KNL), are a representative example of future processing de
 vices. However, software has to be modified to use these devices efficient
 ly. In this work, we demonstrate how an existing domain-specific language 
 that has been designed for CPUs and GPUs can be extended to Manycore archi
 tectures such as KNL. We achieve comparable performance to the NVIDIA Tesl
 a P100 GPU architecture on hand-tuned representative stencils of the dynam
 ical core of the COSMO weather model and its radiation code. Further, we p
 resent performance within a factor of two of the P100 of the full DSL-base
 d GPU-optimized COSMO dycore code. We find that optimizing code to full pe
 rformance on modern manycore architectures requires similar effort and har
 dware knowledge as for GPUs. Further, we show limitations of the present a
 pproaches, and outline our lessons learned and possible principles for des
 ign of future DSLs for accelerators in the weather and climate domain.<br 
 /><br />Full paper: https://doi.org/10.1145/3324989.3325723
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