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This paper describes an investigation into parallel IO using the XIOS framework with the Met Office LFRic Infrastucture. LFRic is currently in development as the replacement for the Met Office Unified Model to enable weather and climate modelling on HPC platforms of the next decade. This will involve running models on hundreds of thousands of cores, therefore a key aspect of the LFRic project is scalability. At this scale, IO is likely to be problematic so LFRic has been exploring the XIOS parallel IO framework as a solution. The purpose of our preliminary experiments was twofold. Firstly, to assess general scalability of our benchmark model using XIOS for parallel output. Secondly, to explore tuning of this benchmark according to some XIOS and Lustre metrics. We successfully ran jobs on up to 82,944 cores on our Cray XC40 machine and found that XIOS was able to efficiently write to one output file whilst still showing scalability with respect to runtime. An investigation into Lustre file striping parameters showed that, with appropriate striping, we could use fewer IO servers than our original guess and still maintain a good performance.
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