Monte Carlo integration on GPU

Abstract

We use a graphics processing unit (GPU) for fast computations of Monte Carlo integrations. Two widely used Monte Carlo integration programs, VEGAS and BASES, are parallelized on GPU. By using $W^{+}$ plus multi-gluon production processes at LHC, we test integrated cross sections and execution time for programs in FORTRAN and C on CPU and those on GPU. Integrated results agree with each other within statistical errors. Execution time of programs on GPU run about 50 times faster than those in C, and more than 60 times faster than the original FORTRAN programs.

6 pages, 2 figures

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• A conservative discontinuous Galerkin scheme for the 2D incompressible Navier--Stokes equations
• Study of the discovery potential for hidden photon emission at future electron scattering fixed target experiments
• ZMCintegral-v5: Support for Integrations with the Scanning of Large Parameter Grids on Multi-GPUs
• Modelling excitonic Mott transitions in two-dimensional semiconductors
• Many-gluon tree amplitudes on modern GPUs: A case study for novel event generators
• Computational Particle Physics for Event Generators and Data Analysis
• Application of the matrix element method to Higgs boson pair production in the channel $\text{HH}\to \text{b}\bar{\text{b}}\text{W}{\text{W}}^{\ast }$ at the LHC