Eur. Phys. J. C (2011) 71: 1559
https://doi.org/10.1140/epjc/s10052-011-1559-8

Special Article - Tools for Experiment and Theory

Monte Carlo integration on GPU

KEK, Tsukuba, 305-0801, Japan

^* e-mail: junichi.kanzaki@kek.jp

Received: 11 October 2010
Revised: 19 January 2011
Published online: 8 February 2011

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 for running on a GPU. By using W ⁺ plus multi-gluon production processes at LHC, we test the integrated cross sections and execution time for programs written in FORTRAN and running in the CPU and those running on a GPU. The integrated results agree with each other within statistical errors. The programs run about 50 times faster on the GPU than on the CPU.