Speeding up complex multivariate data analysis in Borexino with parallel computing based on Graphics Processing Unit

Journal of Physics Conference Series, vol. 1342, pp. 012115

Abstract

Abstract 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.

Authors 4

1. Xuefeng Ding corresponding

   Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali del Gran Sasso · Gran Sasso Science Institute

   Affiliation as printed

   Gran Sasso Science Institute, 67100 L’Aquila, Italy

   INFN Laboratori Nazionali del Gran Sasso, 67010 Assergi (AQ), Italy

2. A. Vishneva

   Joint Institute for Nuclear Research

   Affiliation as printed

   Joint Institute for Nuclear Research, 141980 Dubna, Russia

3. Ö. Penek Aachen

   RWTH Aachen University · Forschungszentrum Jülich

   Affiliation as printed

   IKP-2 Forschungzentrum Jülich, 52428 Jülich, Germany

   RWTH Aachen University, 52062 Aachen, Germany

4. S. Marcocci

   Fermi National Accelerator Laboratory · Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali del Gran Sasso · Istituto Nazionale di Fisica Nucleare, Sezione di Genova · Gran Sasso Science Institute

   Affiliation as printed

   Dipartimento di Fisica, Universita degli Studi e INFN, 16146 Genova, Italy

   Gran Sasso Science Institute, 67100 L’Aquila, Italy

   INFN Laboratori Nazionali del Gran Sasso, 67010 Assergi (AQ), Italy

   Now at: Fermi National Accelerator Laboratory, Batavia, IL 60510, USA