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. 11òÀÓ01òÀÓ00178, 11òÀÓ01òÀÓ00249, and 12òÀÓ07òÀÓ00065). This paper was recommended for publishing by the Program Committee of the International Conference on Parallel Computing Technologies (PCT-2013; http://agora.guru.ru/pavt).

Keywords: particle-in-cell method, parallel programming, simulation of physical processes, plasma physics

• PDF (in Russian) (1.08MB)



• PDF. zip (in Russian) (1.03MB)