A highly scalable Met Office NERC Cloud modelBrown, N., Weiland, M., Hill, A., Shipway, B., Maynard, C., Allen, T. and Rezny, M. (2015) A highly scalable Met Office NERC Cloud model. In: Exascale Applications and Software Conference 2015, 21 - 23 April 2015, Edinburgh, UK, pp. 132-137.
It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. Official URL: https://dl.acm.org/doi/10.5555/2820083.2820108 Abstract/SummaryLarge Eddy Simulation is a critical modelling tool for scien- tists investigating atmospheric flows, turbulence and cloud microphysics. Within the UK, the principal LES model used by the atmospheric research community is the Met Office Large Eddy Model (LEM). The LEM was originally devel- oped in the late 1980s using computational techniques and assumptions of the time, which means that the it does not scale beyond 512 cores. In this paper we present the Met Office NERC Cloud model, MONC, which is a re-write of the existing LEM. We discuss the software engineering and architectural decisions made in order to develop a flexible, extensible model which the community can easily customise for their own needs. The scalability of MONC is evaluated, along with numerous additional customisations made to fur- ther improve performance at large core counts. The result of this work is a model which delivers to the community signifi- cant new scientific modelling capability that takes advantage of the current and future generation HPC machines
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