Accelerated Event-by-Event Neutrino Oscillation Reweighting with Matter Effects on a GPU
Data Analysis, Statistics and Probability
2014-05-12 v3 Computational Physics
Abstract
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.
Cite
@article{arxiv.1311.7579,
title = {Accelerated Event-by-Event Neutrino Oscillation Reweighting with Matter Effects on a GPU},
author = {R. G. Calland and A. C. Kaboth and D. Payne},
journal= {arXiv preprint arXiv:1311.7579},
year = {2014}
}
Comments
Final Update: Post submission update Updated version: quantified the difference in event rates for binned and event-by-event reweighting with a typical binning scheme. Improved formatting of references