Abstract:
The problem of simulation of plasma electron dynamics in a magnetic trap with inverse magnetic mirrors and multipole magnetic walls is considered. The model is proposed on the basis of the particle-in-cell method. The complexity of the processes under study and a required high accuracy of results necessitate the development of a highly scalable computational algorithm. The algorithm must be capable of computing billions of particle trajectories in reasonable time. In order to achieve a uniform and complete workload of computational nodes of a supercomputer, the mixed Eulerian-Lagrangian decomposition is used. A dynamical timestep is taken into account. This approach results in a high scalability and in a significant decrease of computational time. This work was supported by SB RAS integration project number 105 and by the Russian Foundation for Basic Research (projects nos. 11-01-00178, 11-01-00249, and 12-07-00065). This paper was recommended for publishing by the Program Committee of the International Conference on Parallel Computing Technologies (PaVT-2013).
Keywords:particle-in-cell method; parallel programming; simulation of physical processes; plasma physics.