TY  - CONF
AU  - Ding, X. F.
AU  - Vishneva, A.
AU  - Penek, Ömer
AU  - Marcocci, S.
AU  - Borexino Collaboration
TI  - Speeding up complex multivariate data analysis in Borexino with parallel computing based on Graphics Processing Unit
JO  - Journal of physics / Conference Series
VL  - 1342
IS  - 1
SN  - 1742-6588
CY  - Bristol
PB  - IOP Publ.87703
M1  - FZJ-2021-00825
SP  - 012115
PY  - 2020
N1  - 5 pages, 2 figures, proceeding for TAUP 2017 XV International Conference on Topics in Astroparticle and Underground Physics
AB  - A spectral fitter based on the graphics processor unit (GPU) has been developed for Borexino solar neutrino analysis. It is able to shorten the fitting time to a superior level compared to the CPU fitting procedure. In Borexino solar neutrino spectral analysis, fitting usually requires around one hour to converge since it includes time-consuming convolutions in order to account for the detector response and pile-up effects. Moreover, the convergence time increases to more than two days when including extra computations for the discrimination of 11C and external γs. In sharp contrast, with the GPU-based fitter it takes less than 10 seconds and less than four minutes, respectively. This fitter is developed utilizing the GooFit project with customized likelihoods, pdfs and infrastructures supporting certain analysis methods. In this proceeding the design of the package, developed features and the comparison with the original CPU fitter are presented.
T2  - 15th International Conference on Topics in Astroparticle and Underground Physics
CY  - 24 Jul 2017 - 28 Jul 2017, Sudbury (Canada)
Y2  - 24 Jul 2017 - 28 Jul 2017
M2  - Sudbury, Canada
KW  - neutrino: solar (INSPIRE)
KW  - Borexino (INSPIRE)
KW  - spectral (INSPIRE)
KW  - graphics (INSPIRE)
KW  - pile-up (INSPIRE)
LB  - PUB:(DE-HGF)16 ; PUB:(DE-HGF)8
UR  - <Go to ISI:>//WOS:001432953400115
DO  - DOI:10.1088/1742-6596/1342/1/012115
UR  - https://juser.fz-juelich.de/record/890238
ER  -