Accelerated Event-by-Event Neutrino Oscillation Reweighting with Matter Effects on a GPU
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.
December 3, 2013 by hgpu
