%0 Conference Paper
%A Calland, Richard Graham
%T Accelerated Neutrino Oscillation Probability Calculations and Reweighting on GPUs
%N DESY-PROC-2014-05
%C Hamburg
%I Deutsches Elektronen-Synchrotron, DESY
%M PUBDB-2015-05341
%M DESY-PROC-2014-05
%P 127-132
%D 2015
%X Neutrino oscillation experiments are reaching high levels of precision in measurements, which are critical for the search for CP violation in the neutrino sector. Inclusion of mat- ter effects increases the computational burden of oscillation probability calculations. The independency of reweighting individual events in a Monte Carlo sample lends itself to par- allel 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 neu- trino oscillation probabilities through matter of constant density, decreasing the execution time of the oscillation probability calculations by 2 orders of magnitude, when compared to performance on a single CPU core. Additionally, benefit can be realized by porting some systematic uncertainty calculations to GPU, especially non-linear uncertainties evaluated with response functions. The implementation of a fast, parallel cubic spline evaluation on a GPU is discussed. The speed improvement achieved by using the GPU calculations with the T2K oscillation analysis is also noted
%B GPU Computing in High-Energy Physics
%C 10 Sep 2014 - 12 Sep 2014, Pisa (Italy)
Y2 10 Sep 2014 - 12 Sep 2014
M2 Pisa, Italy
%K talk: Pisa 2014/09/10 (INSPIRE)
%K neutrino: oscillation (INSPIRE)
%K matter: effect (INSPIRE)
%K CP: violation (INSPIRE)
%K numerical calculations: Monte Carlo (INSPIRE)
%K programming (INSPIRE)
%K microprocessor: graphics (INSPIRE)
%K performance (INSPIRE)
%K J-PARC Lab (INSPIRE)
%K KAMIOKANDE (INSPIRE)
%K nonlinear (INSPIRE)
%K density (INSPIRE)
%F PUB:(DE-HGF)8 ; PUB:(DE-HGF)15
%9 Contribution to a conference proceedingsInternal Report
%R 10.3204/DESY-PROC-2014-05/23
%U https://bib-pubdb1.desy.de/record/291340