Research output per year
Research output per year
Abstract
This is the source code for the Met Office NERC Cloud model (MONC) which is an atmospheric model used to study clouds and turbulent flows. It has been shown to scale to over 32768 compute cores and includes both the simulation (computation of raw data prognostic fields) and in-situ data analytics to then convert these to diagnostics. A variety of sample test-cases are included and the README file describes, in detail, how to compile and run the model.
Data Citation
Brown, Nick; Weiland, Michele. (2018). Met Office NERC Cloud model (MONC), [software]. University of Edinburgh. EPCC. http://dx.doi.org/10.7488/ds/2343.
| Date made available | 30 Apr 2018 |
|---|---|
| Publisher | Edinburgh DataShare |
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It's all about data movement: Optimising FPGA data access to boost performance
Brown, N. & Dolman, D., 2 Jan 2020, 2019 IEEE/ACM International Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC). Institute of Electrical and Electronics Engineers (IEEE), p. 1-10 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile -
Leveraging MPI RMA to optimise halo-swapping communications in MONC on Cray machines
Brown, N., Bareford, M. & Weiland, M., 25 Sept 2018, (E-pub ahead of print) In: Concurrency and Computation: Practice and Experience. 31, 16, 14 p., e5008.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Met Office NERC Cloud model (MONC)
Brown, N. & Weiland, M., 30 Apr 2018Research output: Non-textual form › Software