Optimization of Particle-In-Cell simulations for Vlasov-Poisson system with strong magnetic field

Abstract : We study the dynamics of charged particles under the influence of a strong magnetic field by numerically solving the Vlasov-Poisson and guiding center models. By using appropriate data structures, we implement an efficient (from the memory access point of view) particle-in-cell method which enables simulations with a large number of particles. We present numerical results for classical one-dimensional Landau damping and two-dimensional Kelvin-Helmholtz test cases. The implementation also relies on a standard hybrid MPI/OpenMP parallelization. Code performance is assessed by the observed speedup and attained memory bandwidth.
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ESAIM: Proceedings and Surveys, EDP Sciences, 2016, CEMRACS 2014 - Numerical Modeling of Plasmas, 53, pp.177-190. 〈10.1051/proc/201653011 〉
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Soumis le : jeudi 21 avril 2016 - 18:25:00
Dernière modification le : mercredi 12 décembre 2018 - 15:29:28

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Edwin Chacon-Golcher, Sever Adrian Hirstoaga, Mathieu Lutz. Optimization of Particle-In-Cell simulations for Vlasov-Poisson system with strong magnetic field. ESAIM: Proceedings and Surveys, EDP Sciences, 2016, CEMRACS 2014 - Numerical Modeling of Plasmas, 53, pp.177-190. 〈10.1051/proc/201653011 〉. 〈hal-01231444v2〉

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