How to prepare the GYSELA-X code to future exascale edge-core simulations

Authors :: Grandgirard, Virginie
Asahi, Y
Bigot, J
Bourne, E
Dif-Pradalier, Guilhem
Donnel, P
Garbet, X
Ghendrih, Ph.
Güçlü, Yaman
Kormann, K
Midou, D
Munschy, Y
Obrejan, K
Passeron, Ch
Varennes, R
Sarazin, Y
Institut de Recherche sur la Fusion par confinement Magnétique (IRFM)
Commissariat à l'énergie atomique et aux énergies alternatives (CEA)
Japan Atomic Energy Agency
Maison de la Simulation (MDLS)
Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut National de Recherche en Informatique et en Automatique (Inria)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)
Ecole Polytechnique Fédérale de Lausanne (EPFL)
Max-Planck-Institut für Plasmaphysik [Garching] (IPP)
Association for Computing Machinery (ACM)
the Swiss National Supercomputing Centre (CSCS)
Source :: PASC 2021-The Platform for Advanced Scientific Computing Conference, PASC 2021-The Platform for Advanced Scientific Computing Conference, Association for Computing Machinery (ACM); the Swiss National Supercomputing Centre (CSCS), Jul 2021, Genève-E-Conference, Switzerland
Publication Year :: 2021
Publisher :: HAL CCSD, 2021.
Abstract: International audience

Language :: English
Database :: OpenAIRE
Journal :: PASC 2021-The Platform for Advanced Scientific Computing Conference, PASC 2021-The Platform for Advanced Scientific Computing Conference, Association for Computing Machinery (ACM); the Swiss National Supercomputing Centre (CSCS), Jul 2021, Genève-E-Conference, Switzerland
Accession number :: edsair.dedup.wf.001..c9b130c579f7198bc134c787e5e14426

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