Optimization of particle-in-cell simulations for Vlasov-Poisson system with strong magnetic field
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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2016-03-01
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| Series: | ESAIM: Proceedings and Surveys |
| Online Access: | http://dx.doi.org/10.1051/proc/201653011 |
| Summary: | 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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| ISSN: | 2267-3059 |