10998

Accelerated Event-by-Event Neutrino Oscillation Reweighting with Matter Effects on a GPU

R. G. Calland, A. C. Kaboth, D. Payne
University of Liverpool, Department of Physics, Oliver Lodge Bld, Oxford Street, Liverpool, L69 7ZE, UK
arXiv:1311.7579 [physics.data-an], (29 Nov 2013)

@article{2013arXiv1311.7579C,

   author={Calland}, R.~G. and {Kaboth}, A.~C. and {Payne}, D.},

   title={"{Accelerated Event-by-Event Neutrino Oscillation Reweighting with Matter Effects on a GPU}"},

   journal={ArXiv e-prints},

   archivePrefix={"arXiv"},

   eprint={1311.7579},

   primaryClass={"physics.data-an"},

   keywords={Physics – Data Analysis, Statistics and Probability, Physics – Computational Physics},

   year={2013},

   month={nov},

   adsurl={http://adsabs.harvard.edu/abs/2013arXiv1311.7579C},

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

}

Oscillation probability calculations are becoming increasingly CPU intensive in modern neutrino oscillation analyses. The independency of reweighting individual events in a Monte Carlo sample lends itself to parallel implementation on a Graphics Processing Unit. The library "Prob3++" was ported to the GPU using the CUDA C API, allowing for large scale parallelized calculations of neutrino oscillation probabilities through matter of constant density, decreasing the execution time by a factor of 75, when compared to performance on a single CPU.
No votes yet.
Please wait...

* * *

* * *

HGPU group © 2010-2017 hgpu.org

All rights belong to the respective authors

Contact us: