Scalable Quasineutral solver for gyrokinetic simulation

Guillaume Latu 1, 2 Virginie Grandgirard 1 Nicolas Crouseilles 2, 3 Guilhem Dif-Pradalier 4
2 CALVI - Scientific computation and visualization
IRMA - Institut de Recherche Mathématique Avancée, LSIIT - Laboratoire des Sciences de l'Image, de l'Informatique et de la Télédétection, Inria Nancy - Grand Est, IECL - Institut Élie Cartan de Lorraine
Abstract : Modeling turbulent transport is a major goal in order to predict confinement issues in a tokamak plasma. The gyrokinetic framework considers a computational domain in five dimensions to look at kinetic issues in a plasma. Gyrokinetic simulations lead to huge computational needs. Up to now, the gyrokinetic code GYSELA performed large simulations using a few thousands of cores. The work proposed here improves GYSELA onto two points: memory scalability and execution time. The new solution allows the GYSELA code to scale well up to 64k cores.
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https://hal.inria.fr/inria-00590561
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Submitted on : Wednesday, May 4, 2011 - 10:38:47 AM
Last modification on : Monday, October 1, 2018 - 4:02:51 PM
Long-term archiving on : Saturday, December 3, 2016 - 6:35:24 PM

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Guillaume Latu, Virginie Grandgirard, Nicolas Crouseilles, Guilhem Dif-Pradalier. Scalable Quasineutral solver for gyrokinetic simulation. [Research Report] RR-7611, INRIA. 2011, pp.15. ⟨inria-00590561v2⟩

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