Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Oriol Tintó Prims"'
Autor:
Robert Redl, Oriol Tintó Prims
Data storage is a critical challenge in science as the amount of data being generated continues to increase. Geosciences and weather are not an exception. To address this challenge, data reduction techniques are required. Even though lossless compres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f86d0fbd6b115a8424cab7979bb0562d
https://doi.org/10.5194/egusphere-egu23-13429
https://doi.org/10.5194/egusphere-egu23-13429
Autor:
Mario Acosta Cobos, Miguel Castrillo Melguizo, Stella Valentina Paronuzzi Ticco, Oriol Tintó Prims
At the beginning of 2021 a mixed precision version of the NEMO code was included into the official NEMO repository. The implementation followed the approach presented in Tintó et al. 2019. The proposed optimization despite being not at all trivial,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03352ab5a45a36906914e4d5b0735271
https://doi.org/10.5194/egusphere-egu21-12427
https://doi.org/10.5194/egusphere-egu21-12427
Autor:
Raffaele Bernardello, Pablo Ortega, Pirkka Ollinaho, M. Pasha Karami, Federico Serva, Declan O'Donnell, David Wårlind, Matthias Gröger, Torben Koenigk, Paul A. Miller, Franco Catalano, Arthur Ramos, Klaus Wyser, Glenn Carver, Ivana Cvijanovic, Evelien Dekker, Ramon Fuentes-Franco, Xavier Yepes-Arbós, Martin Ménégoz, Marianne Sloth Madsen, Roland Schrödner, Mario Acosta, Shiyu Wang, Louis-Philippe Caron, Qiong Zhang, Eduardo Moreno-Chamarro, Ulrika Willén, Torben Schmith, Philippe Le Sager, Paul Nolan, Lars Nieradzik, Tommi Bergman, Shuting Yang, Jukka-Pekka Keskinen, Andrea Alessandri, Peter Anthoni, Twan van Noije, Yohan Ruprich-Robert, Oriol Tintó Prims, François Massonnet, Clement Rousset, Miguel Castrillo, Souhail Bousetta, Petteri Uotila, David Docquier, Jost von Hardenberg, Risto Makkonen, Valentina Sicardi, Gijs van den Oord, Uwe Fladrich, Francisco J. Doblas-Reyes, Thomas Reerink, Paolo Davini, Martin Vancoppenolle, Jenny Hieronymus, Benjamin Smith, Etienne Tourigny, Almut Arneth, Thomas Arsouze, Ralf Doescher, Tian Tian, Pablo Echevarria
Publikováno v:
Geoscientific Model Development
The Earth System Model EC-Earth3 for contributions to CMIP6 is documented here, with its flexible coupling framework, major model configurations, a methodology for ensuring the simulations are comparable across different HPC systems, and with the phy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6bd2497ce36c2a12f8d651502ceecb0
https://doi.org/10.5194/gmd-2020-446
https://doi.org/10.5194/gmd-2020-446
Autor:
Miguel Castrillo, Kim Serradell, Mario Acosta, Stella Valentina Paronuzzi Ticco, Ana Cortés, Oriol Tintó Prims, Francisco J. Doblas-Reyes
Publikováno v:
HPCS
—Non-linear models are challenging when it is time to verify that a certain HPC optimization does not degrade the accuracy of a model. Any apparently insignificant change in the code, in the software stack, or in the HPC system used can prevent bit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c521c75c21dcead3332027a84f5a80b7
Autor:
Oriol Tintó Prims, Miguel Castrillo, Andrew M. Moore, Francisco J. Doblas-Reyes, Ana Cortés, Kim Serradell, Mario Acosta
Publikováno v:
Geoscientific Model Development Discussions
Mixed-precision approaches can provide substantial speed-ups for both computing- and memory-bound codes requiring little effort. Most scientific codes have overengineered the numerical precision leading to a situation where models are using more reso
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fb3d625742b4395c652615fa77c73a0
https://doi.org/10.5194/gmd-2019-20
https://doi.org/10.5194/gmd-2019-20
Autor:
Oriol Mula-Valls, Kim Serradell, Francisco J. Doblas-Reyes, Ana Cortés, Alicia Sanchez Lorente, Mario Acosta, Miguel Castrillo, Oriol Tintó Prims
Publikováno v:
Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona
Journal of Computational Science
Universitat Autònoma de Barcelona
Journal of Computational Science
It is a matter of consensus that the ability to efficiently use current and future high performance computing systems is crucial for science, however, the reality is that the performance currently achieved by most of the parallel scientific applicati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26d05aed096fbf7ef218fb554c5a6acd
https://ddd.uab.cat/record/223531
https://ddd.uab.cat/record/223531