Articles | Volume 9, issue 10
Geosci. Model Dev., 9, 3605–3616, 2016
https://doi.org/10.5194/gmd-9-3605-2016

Special issue: Model infrastructure integration and interoperability (MI3)

Geosci. Model Dev., 9, 3605–3616, 2016
https://doi.org/10.5194/gmd-9-3605-2016
Development and technical paper
11 Oct 2016
Development and technical paper | 11 Oct 2016

Coarse-grained component concurrency in Earth system modeling: parallelizing atmospheric radiative transfer in the GFDL AM3 model using the Flexible Modeling System coupling framework

V. Balaji et al.

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Cited articles

Adler, R. F., Huffman, G. J., Chang, A., Ferraro, R., Xie, P.-P., Janowiak, J., Rudolf, B., Schneider, U., Curtis, S., Bolvin, D., Gruber, A., Susskind, J., Arkin, P., and Nelkin, E.: The Version-2 Global Precipitation Climatology Project (GPCP) monthly precipitation analysis (1979–present), J. Hydrometeorol., 4, 1147–1167, 2003.
Alexander, K. and Easterbrook, S. M.: The software architecture of climate models: a graphical comparison of CMIP5 and EMICAR5 configurations, Geosci. Model Dev., 8, 1221–1232, https://doi.org/10.5194/gmd-8-1221-2015, 2015.
Balaji, V.: The Flexible Modeling System, in: Earth System Modelling – Volume 3, edited by: Valcke, S., Redler, R., and Budich, R., SpringerBriefs in Earth System Sciences, Springer Berlin Heidelberg, 33–41, 2012.
Balaji, V.: Climate Computing: The State of Play, Comput. Sci. Eng., 17, 9–13, 2015.
Balaji, V., Anderson, J., Held, I., Winton, M., Durachta, J., Malyshev, S., and Stouffer, R. J.: The Exchange Grid: a mechanism for data exchange between Earth System components on independent grids, in: Parallel Computational Fluid Dynamics: Theory and Applications, Proceedings of the 2005 International Conference on Parallel Computational Fluid Dynamics, 24–27 May, College Park, MD, USA, edited by: Deane, A., Brenner, G., Ecer, A., Emerson, D., McDonough, J., Periaux, J., Satofuka, N., and Tromeur-Dervout, D., Elsevier, 2006.
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Short summary
In nature, the many processes that make up the Earth system take place simultaneously, for instance the condensation of water vapour into clouds, and the blocking of sunlight by those clouds. In computer simulations, these often take place in sequence. We demonstrate how to make these processes also execute in parallel in computer simulations. This should prove a large benefit in the new era of computing, where arithmetic does not get faster, but we can perform more of it in parallel.