A multi-species collisional operator for full-F global gyrokinetics codes: Numerical aspects and verification with the GYSELA code

Autor: Donnel, P., Garbet, X., Sarazin, Y., Grandgirard, V., Asahi, Y., Bouzat, N., Caschera, E., Dif-Pradalier, G., Ehrlacher, C., Ghendrih, P., Gillot, C., Latu, G., Passeron, C.

Publikováno v: In Computer Physics Communications January 2019 234:1-13

The Impact of c-Fos/Activator Protein-1 Inhibition on Allogeneic Pancreatic Islet Transplantation

Autor: Yoshida, T., Yamashita, K. ^*, Watanabe, M., Koshizuka, Y., Kuraya, D., Ogura, M., Asahi, Y., Ono, H., Emoto, S., Mizukami, T., Kobayashi, N., Shibasaki, S., Tomaru, U., Kamachi, H., Matsushita, M., Shiozawa, S., Hirono, S., Todo, S. ^*

Publikováno v: In American Journal of Transplantation October 2015 15(10):2565-2575

New advances to prepare GYSELA-X code for exascale global gyrokinetic plasma turbulence simulations: porting on GPU and ARM architectures

Autor: Grandgirard, Virginie, Obrejan, Kevin, Midou, Dorian, Asahi, Y, Bernard, P-E, Bigot, J, Bourne, E, Dechard, J, Dif- Pradalier, G, Donnel, P, Garbet, X, Gueroudji, A, Hager, G, Murai, H, Ould-Ruis, Yacine, Padioleau, T, Nguyen, L, Peybernes, M, Sarazin, Y, Sato, M, Tsuji, M, Vezolle, P

Publikováno v: PASC22-Conderence on The Platform for Advanced Scientific Computing
PASC22-Conderence on The Platform for Advanced Scientific Computing, the Association for Computing Machinery (ACM); the Swiss National Supercomputing Centre (CSCS), Jun 2022, Bâle (virtual event), Switzerland. pp.1-21

International audience

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0e607a50ac3e6ff1a60374015f9ffb56
https://cea.hal.science/cea-03740685

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Compressing the time series of five dimensional distribution function data from gyrokinetic simulation using principal component analysis

Autor: Asahi, Y., Fujii, K., Heim, D.M., Maeyama, S., Garbet, X., Grandgirard, V., Sarazin, Y., Dif-Pradalier, G., Idomura, Y., Yagi, M.

Phase space structures are extracted from the time series of five dimensional distribution function data computed by the flux-driven full-f gyrokinetic code GT5D. Principal component analysis (PCA) is applied to reduce the dimensionality and the size

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______610::c5de87b93d8ae30424b7f49d71ae99c1
https://publica.fraunhofer.de/handle/publica/268979