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PIConGPU: A Fully Relativistic Particle-in-Cell Code for a GPU Cluster

Heiko Burau, Renee Widera, Wolfgang Honig, Guido Juckeland, Ale Debus, Thomas Kluge, Ulrich Schramm, Tomas E. Cowan, Roland Sauerbrey, Michael Bussmann
Forschungszentrum Dresden-Rossendorf e.V., Dresden, Germany
IEEE Transactions on Plasma Science (2010)

@article{burau2010picongpu,

   title={PIConGPU: A Fully Relativistic Particle-in-Cell Code for a GPU Cluster},

   author={Burau, H. and Widera, R. and Honig, W. and Juckeland, G. and Debus, A. and Kluge, T. and Schramm, U. and Cowan, T.E. and Sauerbrey, R. and Bussmann, M.},

   journal={Plasma Science, IEEE Transactions on},

   volume={38},

   number={10},

   pages={2831–2839},

   issn={0093-3813},

   year={2010},

   publisher={IEEE}

}

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The particle-in-cell (PIC) algorithm is one of the most widely used algorithms in computational plasma physics. With the advent of graphical processing units (GPUs), large-scale plasma simulations on inexpensive GPU clusters are in reach. We present an implementation of a fully relativistic plasma PIC algorithm for GPUs based on the NVIDIA CUDA library. It supports a hybrid architecture consisting of single computation nodes interconnected in a standard cluster topology, with each node carrying one or more GPUs. The internode communication is realized using the message-passing interface. The simulation code PIConGPU presented in this paper is, to our knowledge, the first scalable GPU cluster implementation of the PIC algorithm in plasma physics.
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