A graphics processor-based intranuclear cascade and evaporation simulation
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}
}
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.
October 2, 2013 by hgpu
