Geodesic
Highly parallel drift-kinetic semi-Lagrangian simulations in Python
Emily Bourne1, 2 ; Yaman Güçlü3
1 CEA, IRFM, Saint-Paul-les-Durance, F-13108, France
2 EPFL, CH-1015 Lausanne, Switzerland
3 Max-Planck Institut für Plasmaphysik, Garching, Germany
ESAIM. Proceedings, Tome 77 (2024), pp. 176-194 Cet article a éte moissonné depuis la source EDP Sciences

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This paper describes PyGyro, a parallel 4D drift-kinetic code which implements backward semi-Lagrangian methods combined with field-aligned interpolation and time-splitting. The purpose of PyGyro is twofold: to develop an advanced parallelisation scheme based on fast data transpositions, and to demonstrate the efficacy of a development workflow with code written in Python. Bottlenecks are accelerated with the Pyccel transpiler to achieve Fortran-like execution times. The resulting simulations are shown to correctly reproduce the expected physics and demonstrate good strong scaling, well beyond what was achieved by an existing Fortran code.
DOI : 10.1051/proc/202477176

Emily Bourne 1, 2 ; Yaman Güçlü 3

1 CEA, IRFM, Saint-Paul-les-Durance, F-13108, France
2 EPFL, CH-1015 Lausanne, Switzerland
3 Max-Planck Institut für Plasmaphysik, Garching, Germany 
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     title = {Highly parallel drift-kinetic {semi-Lagrangian} simulations in {Python}},
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     doi = {10.1051/proc/202477176},
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Emily Bourne; Yaman Güçlü. Highly parallel drift-kinetic semi-Lagrangian simulations in Python. ESAIM. Proceedings, Tome 77 (2024), pp. 176-194. doi: 10.1051/proc/202477176

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