SMuK 2023 – wissenschaftliches Programm
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P: Fachverband Plasmaphysik
P 12: Poster II
P 12.31: Poster
Mittwoch, 22. März 2023, 17:30–19:00, HSZ EG
Enabling GENE for Exascale Computing via Modern Data Science — •Luciana Tanzarella1, Tilman Dannert2, Tobias Görler1, and Frank Jenko1 — 1Max Planck Institute for Plasma Physics, Garching — 2Max Planck Computing and Data Facility, Garching
The GENE (Gyrokinetic Electromagnetic Numerical Experiment) code represents the state-of-the-art in turbulence simulation in plasma physics, based on the Eulerian approach. Since these codes solve differential equations in 5 or 6 dimensions, over a very large parameter space, they require a very considerable computational power. Higher speed, lower communication and energy costs are all benefits of lower precision arithmetic, but the outputs must be accurately assessed. GENE allows for either single or double precision computations. The national DaREXA project’s specific objective is to develop methods and architectures that will decrease the amount of data required for fusion research. The first steps in this direction, in particular, entail the creation and application of lower precision methods in selected operations performed by GENE. The precision must be scaled using existing libraries in addition to assessing how it impacts calculations as not every hardware supports arbitrary*precision. To ascertain how much the discretization order influences the outputs on grids, this must be done on each of GENE’s several sections. The operation will be done on the stencil part first. In order to accurately evaluate the gain from implementing this reduced precision, an error model for the estimation of stencil and moments must be written.