Optimization of Particle-In-Cell simulations for Vlasov-Poisson system with strong magnetic field
| Autor: | Mathieu Lutz, Sever Adrian Hirstoaga, Edwin Chacon-Golcher |
|---|---|
| Přispěvatelé: | Institute of Physics [Prague], Czech Academy of Sciences [Prague] (CAS), TOkamaks and NUmerical Simulations (TONUS), Institut de Recherche Mathématique Avancée (IRMA), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-Inria Nancy - Grand Est, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Institut de Mathématiques de Toulouse UMR5219 (IMT), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Physics
T57-57.97 Guiding center Speedup Applied mathematics. Quantitative methods Memory bandwidth Data structure 01 natural sciences [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation Charged particle 010305 fluids & plasmas Computational science Magnetic field 010101 applied mathematics 0103 physical sciences QA1-939 Landau damping Statistical physics Particle-in-cell 0101 mathematics [MATH]Mathematics [math] [INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC] Mathematics |
| Zdroj: | ESAIM: Proceedings and Surveys ESAIM: Proceedings and Surveys, 2016, CEMRACS 2014-Numerical Modeling of Plasmas, 53, pp.177-190. ⟨10.1051/proc/201653011⟩ ESAIM: Proceedings and Surveys, Vol 53, Pp 177-190 (2016) ESAIM: Proceedings and Surveys, EDP Sciences, 2016, CEMRACS 2014-Numerical Modeling of Plasmas, 53, pp.177-190. ⟨10.1051/proc/201653011⟩ |
| ISSN: | 2267-3059 |
| DOI: | 10.1051/proc/201653011⟩ |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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