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Articles | Volume 12, issue 7
https://doi.org/10.5194/gmd-12-3135-2019
https://doi.org/10.5194/gmd-12-3135-2019
Development and technical paper
 | 
24 Jul 2019
Development and technical paper |  | 24 Jul 2019

How to use mixed precision in ocean models: exploring a potential reduction of numerical precision in NEMO 4.0 and ROMS 3.6

Oriol Tintó Prims, Mario C. Acosta, Andrew M. Moore, Miguel Castrillo, Kim Serradell, Ana Cortés, and Francisco J. Doblas-Reyes

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Cited articles

Aumont, O., Ethé, C., Tagliabue, A., Bopp, L., and Gehlen, M.: PISCES-v2: an ocean biogeochemical model for carbon and ecosystem studies, Geosci. Model Dev., 8, 2465–2513, https://doi.org/10.5194/gmd-8-2465-2015, 2015. a
Baboulin, M., Buttari, A., Dongarra, J., Kurzak, J., Langou, J., Langou, J., Luszczek, P., and Tomov, S.: Accelerating scientific computations with mixed precision algorithms, Comput. Phys. Commun., 180, 2526–2533, https://doi.org/10.1016/j.cpc.2008.11.005, 2009. a, b, c
Bauer, P., Thorpe, A., and Brunet, G.: The quiet revolution of numerical weather prediction, Nature, 525, 47–55, https://doi.org/10.1038/nature14956, 2015. a, b
Bellard, C., Bertelsmeier, C., Leadley, P., Thuiller, W., and Courchamp, F.: Impacts of climate change on the future of biodiversity, Ecol. Lett., 15, 365–377, https://doi.org/10.1111/j.1461-0248.2011.01736.x, 2012. a
Dawson, A. and Dueben, P.: aopp-pred/rpe: v5.0.0 (Version v5.0.0), Zenodo, https://doi.org/10.5281/zenodo.154483, 2016. a
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Mixed-precision approaches can provide substantial speed-ups for both computing- and...
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