Contenu
The ESCAPE project: Energy-efficient Scalable Algorithms for Weather Prediction at Exascale. Geoscientific Model Development, 12(10), 4425-4441.
Publication
Auteurs | Müller, A., Deconinck, W., Kühnlein, C., Mengaldo, G., Lange, M., Wedi, N., Bauer, P., Smolarkiewicz, P.K., Diamantakis, M., Lock, S.-J., Hamrud, M., Saarinen, S., Mozdzynski, G., Thiemert, D., Glinton, M., Bénard, P., Voitus, F., Colavolpe, C., Marguinaud, P., Zheng, Y., Van Bever, J., Degrauwe, D., Smet, G., Termonia, P., Nielsen, K.P., Sass, B.H., Poulsen, J.W., Berg, P., Osuna, C.*, Fuhrer, O.*, Clement, V.*, Baldauf, M., Gillard, M., Szmelter, J., O'Brien, E., McKinstry, A., Robinson, O., Shukla, P., Lysaght, M., Kulczewski, M., Ciznicki, M., Piątek, W., Ciesielski, S., Błażewicz, M., Kurowski, K., Procyk, M., Spychala, P., Bosak, B., Piotrowski, Z.P., Wyszogrodzki, A., Raffin, E., Mazauric, C., Guibert, D., Douriez, L., Vigouroux, X., Gray, A., Messmer, P., Macfaden, A.J., & New, N. |
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Année | 2019 |
Type | Publications scientifiques |