10628

A graphics processor-based intranuclear cascade and evaporation simulation

H. Wan Chan Tseung, C. Beltran
Division of Medical Physics, Department of Radiation Oncology, Mayo Clinic, Rochester MN 55905
arXiv:1309.7963 [physics.comp-ph], (30 Sep 2013)

@article{2013arXiv1309.7963T,

   author={Tseung}, H.~W.~C. and {Beltran}, C.},

   title={"{A graphics processor-based intranuclear cascade and evaporation simulation}"},

   journal={ArXiv e-prints},

   archivePrefix={"arXiv"},

   eprint={1309.7963},

   primaryClass={"physics.comp-ph"},

   keywords={Physics – Computational Physics, Nuclear Theory, Physics – Medical Physics},

   year={2013},

   month={sep},

   adsurl={http://adsabs.harvard.edu/abs/2013arXiv1309.7963T},

   adsnote={Provided by the SAO/NASA Astrophysics Data System}

}

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Monte Carlo simulations of the transport of protons in human tissue have been deployed on graphics processing units (GPUs) with impressive results. To provide a more complete treatment of non-elastic nuclear interactions in these simulations, we developed a fast intranuclear cascade-evaporation simulation for the GPU. This can be used to model non-elastic proton collisions on any therapeutically relevant nuclei at incident energies between 20 and 250 MeV. Predictions are in good agreement with Geant4.9.6p2. It takes approximately 2 s to calculate $1times 10^6$ 200 MeV proton-$^{16}$O interactions on a NVIDIA GTX680 GPU. A speed-up factor of $sim$20 relative to one Intel i7-3820 core processor thread was achieved.
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