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Particle-in-cell simulations with charge-conserving current deposition on graphic processing units

by: Xianglong Kong, Michael C. Huang, Chuang Ren, Viktor K. Decyk
Journal of Computational Physics, Vol. 230, No. 4. (26 February 2011), pp. 1676-1685, doi:10.1016/j.jcp.2010.11.032  Key: citeulike:8406623

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Abstract

We present an implementation of a 2D fully relativistic, electromagnetic particle-in-cell code, with charge-conserving current deposition, on parallel graphics processors (GPU) with CUDA. The GPU implementation achieved a one particle-step process time of 2.52 ns for cold plasma runs and 9.15 ns for extremely relativistic plasma runs, which are respectively 81 and 27 times faster than a single threaded state-of-art CPU code. A particle-based computation thread assignment was used in the current deposition scheme and write conflicts among the threads were resolved by a thread racing technique. A parallel particle sorting scheme was also developed and used. The implementation took advantage of fast on-chip shared memory, and can in principle be extended to 3D.


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