43 citations · 82 across the 9 of their papers we have counts for
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physics.comp-ph2023
Physics informed Neural Networks applied to the description of wave-particle resonance in kinetic simulations of fusion plasmas
Jai Kumar, David Zarzoso, Virginie Grandgirard +2
The Vlasov-Poisson system is employed in its reduced form version (1D1V) as a test bed for the applicability of Physics Informed Neural Network (PINN) to the wave-particle resonanc…
physics.comp-ph2016
Optilization of the gyroaverage operator based on hermite interpolation
F Rozar, C Steiner, G Latu +5
Gyrokinetic modeling is appropriate for describing Tokamak plasma turbulence, and the gyroaverage operator is a cornerstone of this approach. In a gyrokinetic code, the gyroaveragi…
physics.comp-ph2015
Evaluating kernels on Xeon Phi to accelerate Gysela application
G. Latu, M. Haefele, J. Bigot +3
This work describes the challenges presented by porting parts ofthe Gysela code to the Intel Xeon Phi coprocessor, as well as techniques used for optimization, vectorization and tu…