Applying Domain-Specific Language Tools to Production Weather and Climate Models: Computational Performance - Deliverable D2.4
Creators
- 1. STFC
- 2. MeteoSwiss
- 3. METO
Description
The models used in weather and climate simulation are large, complex and long-lived. It is then very difficult to adapt them to run well on supercomputers which are quickly evolving and tend to have a lifespan of only five years or so. Domain-Specific Languages (DSLs) are one solution to this problem: they enable the model developers to focus on the scientific challenges while the underlying tool chain takes responsibility for achieving good performance on a given supercomputer. This report describes the computational performance obtained through the application of the PSyclone and dusk/dawn DSL toolchains to full atmosphere and ocean models as used for weather and climate studies at various centres. These are: the UK Met Office’s LFRic atmosphere model, the NEMO ocean model, the IFS-FVM atmosphere model and the ICON atmosphere model.
Notes
Files
ESiWACE2_D2.4_DSL_comput_performance.pdf
Files
(3.1 MB)
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Additional details
Related works
- Cites
- Project deliverable: https://doi.org/10. 5281/zenodo.7476411 (URL)